/* auto generate by HHB_VERSION 2.4.5 */

#include <shl_pnna.h>

void *csinn_(char *params_base) {
  struct csinn_session *sess = csinn_alloc_session();
  sess->base_run_mode = CSINN_RM_NPU_GRAPH;
  sess->base_quant_type = CSINN_QUANT_INT8_ASYM;
  sess->model.priority = 0;
  sess->base_api = CSINN_TH1520;
  sess->base_dtype = CSINN_DTYPE_INT8;
  csinn_session_init(sess);
  csinn_set_input_number(1, sess);
  csinn_set_output_number(3, sess);

  struct csinn_tensor *images = csinn_alloc_tensor(sess);
  images->name = "images@@conv2d_/model.0/conv/Conv_PART_0_1_fuse_bias_add_/model.0/conv/Conv_2_0";
  images->dtype = CSINN_DTYPE_INT8;
  images->layout = CSINN_LAYOUT_NCHW;
  images->dim[0] = 1;
  images->dim[1] = 3;
  images->dim[2] = 384;
  images->dim[3] = 640;
  images->dim_count = 4;
  images->qinfo = (struct csinn_quant_info *)(params_base + 0);
  images->quant_channel = 1;
  struct csinn_tensor *output_0 = csinn_alloc_tensor(sess);
  output_0->name = "output_0";
  output_0->dtype = CSINN_DTYPE_INT8;
  output_0->layout = CSINN_LAYOUT_NCHW;
  output_0->dim[0] = 1;
  output_0->dim[1] = 16;
  output_0->dim[2] = 192;
  output_0->dim[3] = 320;
  output_0->dim_count = 4;
  output_0->qinfo = (struct csinn_quant_info *)(params_base + 24);
  output_0->quant_channel = 1;
  struct csinn_tensor *kernel_0 = csinn_alloc_tensor(sess);
  kernel_0->name = "kernel_0";
  kernel_0->data = params_base + 72;
  kernel_0->is_const = 1;
  kernel_0->dtype = CSINN_DTYPE_INT8;
  kernel_0->layout = CSINN_LAYOUT_OIHW;
  kernel_0->dim[0] = 16;
  kernel_0->dim[1] = 3;
  kernel_0->dim[2] = 6;
  kernel_0->dim[3] = 6;
  kernel_0->dim_count = 4;
  kernel_0->qinfo = (struct csinn_quant_info *)(params_base + 48);
  kernel_0->quant_channel = 1;
  struct csinn_tensor *bias_0 = csinn_alloc_tensor(sess);
  bias_0->name = "bias_0";
  bias_0->data = params_base + 1824;
  bias_0->is_const = 1;
  bias_0->dtype = CSINN_DTYPE_INT32;
  bias_0->layout = CSINN_LAYOUT_O;
  bias_0->dim[0] = 16;
  bias_0->dim_count = 1;
  bias_0->qinfo = (struct csinn_quant_info *)(params_base + 1800);
  bias_0->quant_channel = 1;
  struct csinn_conv2d_params *params_0 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_0->group = 1;
  params_0->stride_height = 2;
  params_0->stride_width = 2;
  params_0->dilation_height = 1;
  params_0->dilation_width = 1;
  params_0->conv_extra.kernel_tm = NULL;
  params_0->conv_extra.conv_mode = CSINN_DIRECT;
  params_0->pad_top = 2;
  params_0->pad_left = 2;
  params_0->pad_down = 2;
  params_0->pad_right = 2;
  params_0->base.name = "conv2d_/model.0/conv/Conv_PART_0_1_fuse_bias_add_/model.0/conv/Conv_2";
  params_0->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(images, output_0, kernel_0, bias_0, params_0);
  struct csinn_tensor *output_2 = csinn_alloc_tensor(sess);
  output_2->name = "output_2";
  output_2->dtype = CSINN_DTYPE_INT8;
  output_2->layout = CSINN_LAYOUT_NCHW;
  output_2->dim[0] = 1;
  output_2->dim[1] = 16;
  output_2->dim[2] = 192;
  output_2->dim[3] = 320;
  output_2->dim_count = 4;
  output_2->qinfo = (struct csinn_quant_info *)(params_base + 1888);
  output_2->quant_channel = 1;
  struct csinn_sigmoid_params *params_2 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_2->base.name = "sigmoid_/model.0/act/Sigmoid_3";
  params_2->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_0, output_2, params_2);
  struct csinn_tensor *output_3 = csinn_alloc_tensor(sess);
  output_3->name = "output_3";
  output_3->dtype = CSINN_DTYPE_INT8;
  output_3->layout = CSINN_LAYOUT_NCHW;
  output_3->dim[0] = 1;
  output_3->dim[1] = 16;
  output_3->dim[2] = 192;
  output_3->dim[3] = 320;
  output_3->dim_count = 4;
  output_3->qinfo = (struct csinn_quant_info *)(params_base + 1912);
  output_3->quant_channel = 1;
  struct csinn_relu_params *params_3 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_3->base.name = "relu_4";
  params_3->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_2, output_3, params_3);
  struct csinn_tensor *output_4 = csinn_alloc_tensor(sess);
  output_4->name = "output_4";
  output_4->dtype = CSINN_DTYPE_INT8;
  output_4->layout = CSINN_LAYOUT_NCHW;
  output_4->dim[0] = 1;
  output_4->dim[1] = 16;
  output_4->dim[2] = 192;
  output_4->dim[3] = 320;
  output_4->dim_count = 4;
  output_4->qinfo = (struct csinn_quant_info *)(params_base + 1936);
  output_4->quant_channel = 1;
  struct csinn_diso_params *params_4 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_4->base.name = "multiply_/model.0/act/Mul_5";
  params_4->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_0, output_3, output_4, params_4);
  struct csinn_tensor *output_6 = csinn_alloc_tensor(sess);
  output_6->name = "output_6";
  output_6->dtype = CSINN_DTYPE_INT8;
  output_6->layout = CSINN_LAYOUT_NCHW;
  output_6->dim[0] = 1;
  output_6->dim[1] = 32;
  output_6->dim[2] = 96;
  output_6->dim[3] = 160;
  output_6->dim_count = 4;
  output_6->qinfo = (struct csinn_quant_info *)(params_base + 1960);
  output_6->quant_channel = 1;
  struct csinn_tensor *kernel_6 = csinn_alloc_tensor(sess);
  kernel_6->name = "kernel_6";
  kernel_6->data = params_base + 2008;
  kernel_6->is_const = 1;
  kernel_6->dtype = CSINN_DTYPE_INT8;
  kernel_6->layout = CSINN_LAYOUT_OIHW;
  kernel_6->dim[0] = 32;
  kernel_6->dim[1] = 16;
  kernel_6->dim[2] = 3;
  kernel_6->dim[3] = 3;
  kernel_6->dim_count = 4;
  kernel_6->qinfo = (struct csinn_quant_info *)(params_base + 1984);
  kernel_6->quant_channel = 1;
  struct csinn_tensor *bias_6 = csinn_alloc_tensor(sess);
  bias_6->name = "bias_6";
  bias_6->data = params_base + 6640;
  bias_6->is_const = 1;
  bias_6->dtype = CSINN_DTYPE_INT32;
  bias_6->layout = CSINN_LAYOUT_O;
  bias_6->dim[0] = 32;
  bias_6->dim_count = 1;
  bias_6->qinfo = (struct csinn_quant_info *)(params_base + 6616);
  bias_6->quant_channel = 1;
  struct csinn_conv2d_params *params_6 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_6->group = 1;
  params_6->stride_height = 2;
  params_6->stride_width = 2;
  params_6->dilation_height = 1;
  params_6->dilation_width = 1;
  params_6->conv_extra.kernel_tm = NULL;
  params_6->conv_extra.conv_mode = CSINN_DIRECT;
  params_6->pad_top = 1;
  params_6->pad_left = 1;
  params_6->pad_down = 1;
  params_6->pad_right = 1;
  params_6->base.name = "conv2d_/model.1/conv/Conv_PART_0_6_fuse_bias_add_/model.1/conv/Conv_7";
  params_6->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_4, output_6, kernel_6, bias_6, params_6);
  struct csinn_tensor *output_8 = csinn_alloc_tensor(sess);
  output_8->name = "output_8";
  output_8->dtype = CSINN_DTYPE_INT8;
  output_8->layout = CSINN_LAYOUT_NCHW;
  output_8->dim[0] = 1;
  output_8->dim[1] = 32;
  output_8->dim[2] = 96;
  output_8->dim[3] = 160;
  output_8->dim_count = 4;
  output_8->qinfo = (struct csinn_quant_info *)(params_base + 6768);
  output_8->quant_channel = 1;
  struct csinn_sigmoid_params *params_8 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_8->base.name = "sigmoid_/model.1/act/Sigmoid_8";
  params_8->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_6, output_8, params_8);
  struct csinn_tensor *output_9 = csinn_alloc_tensor(sess);
  output_9->name = "output_9";
  output_9->dtype = CSINN_DTYPE_INT8;
  output_9->layout = CSINN_LAYOUT_NCHW;
  output_9->dim[0] = 1;
  output_9->dim[1] = 32;
  output_9->dim[2] = 96;
  output_9->dim[3] = 160;
  output_9->dim_count = 4;
  output_9->qinfo = (struct csinn_quant_info *)(params_base + 6792);
  output_9->quant_channel = 1;
  struct csinn_relu_params *params_9 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_9->base.name = "relu_9";
  params_9->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_8, output_9, params_9);
  struct csinn_tensor *output_10 = csinn_alloc_tensor(sess);
  output_10->name = "output_10";
  output_10->dtype = CSINN_DTYPE_INT8;
  output_10->layout = CSINN_LAYOUT_NCHW;
  output_10->dim[0] = 1;
  output_10->dim[1] = 32;
  output_10->dim[2] = 96;
  output_10->dim[3] = 160;
  output_10->dim_count = 4;
  output_10->qinfo = (struct csinn_quant_info *)(params_base + 6816);
  output_10->quant_channel = 1;
  struct csinn_diso_params *params_10 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_10->base.name = "multiply_/model.1/act/Mul_10";
  params_10->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_6, output_9, output_10, params_10);
  struct csinn_tensor *output_12 = csinn_alloc_tensor(sess);
  output_12->name = "output_12";
  output_12->dtype = CSINN_DTYPE_INT8;
  output_12->layout = CSINN_LAYOUT_NCHW;
  output_12->dim[0] = 1;
  output_12->dim[1] = 16;
  output_12->dim[2] = 96;
  output_12->dim[3] = 160;
  output_12->dim_count = 4;
  output_12->qinfo = (struct csinn_quant_info *)(params_base + 6840);
  output_12->quant_channel = 1;
  struct csinn_tensor *kernel_12 = csinn_alloc_tensor(sess);
  kernel_12->name = "kernel_12";
  kernel_12->data = params_base + 6888;
  kernel_12->is_const = 1;
  kernel_12->dtype = CSINN_DTYPE_INT8;
  kernel_12->layout = CSINN_LAYOUT_OIHW;
  kernel_12->dim[0] = 16;
  kernel_12->dim[1] = 32;
  kernel_12->dim[2] = 1;
  kernel_12->dim[3] = 1;
  kernel_12->dim_count = 4;
  kernel_12->qinfo = (struct csinn_quant_info *)(params_base + 6864);
  kernel_12->quant_channel = 1;
  struct csinn_tensor *bias_12 = csinn_alloc_tensor(sess);
  bias_12->name = "bias_12";
  bias_12->data = params_base + 7424;
  bias_12->is_const = 1;
  bias_12->dtype = CSINN_DTYPE_INT32;
  bias_12->layout = CSINN_LAYOUT_O;
  bias_12->dim[0] = 16;
  bias_12->dim_count = 1;
  bias_12->qinfo = (struct csinn_quant_info *)(params_base + 7400);
  bias_12->quant_channel = 1;
  struct csinn_conv2d_params *params_12 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_12->group = 1;
  params_12->stride_height = 1;
  params_12->stride_width = 1;
  params_12->dilation_height = 1;
  params_12->dilation_width = 1;
  params_12->conv_extra.kernel_tm = NULL;
  params_12->conv_extra.conv_mode = CSINN_DIRECT;
  params_12->pad_top = 0;
  params_12->pad_left = 0;
  params_12->pad_down = 0;
  params_12->pad_right = 0;
  params_12->base.name = "conv2d_/model.2/cv1/conv/Conv_PART_0_11_fuse_bias_add_/model.2/cv1/conv/Conv_12";
  params_12->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_10, output_12, kernel_12, bias_12, params_12);
  struct csinn_tensor *output_14 = csinn_alloc_tensor(sess);
  output_14->name = "output_14";
  output_14->dtype = CSINN_DTYPE_INT8;
  output_14->layout = CSINN_LAYOUT_NCHW;
  output_14->dim[0] = 1;
  output_14->dim[1] = 16;
  output_14->dim[2] = 96;
  output_14->dim[3] = 160;
  output_14->dim_count = 4;
  output_14->qinfo = (struct csinn_quant_info *)(params_base + 7488);
  output_14->quant_channel = 1;
  struct csinn_sigmoid_params *params_14 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_14->base.name = "sigmoid_/model.2/cv1/act/Sigmoid_13";
  params_14->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_12, output_14, params_14);
  struct csinn_tensor *output_15 = csinn_alloc_tensor(sess);
  output_15->name = "output_15";
  output_15->dtype = CSINN_DTYPE_INT8;
  output_15->layout = CSINN_LAYOUT_NCHW;
  output_15->dim[0] = 1;
  output_15->dim[1] = 16;
  output_15->dim[2] = 96;
  output_15->dim[3] = 160;
  output_15->dim_count = 4;
  output_15->qinfo = (struct csinn_quant_info *)(params_base + 7512);
  output_15->quant_channel = 1;
  struct csinn_relu_params *params_15 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_15->base.name = "relu_14";
  params_15->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_14, output_15, params_15);
  struct csinn_tensor *output_16 = csinn_alloc_tensor(sess);
  output_16->name = "output_16";
  output_16->dtype = CSINN_DTYPE_INT8;
  output_16->layout = CSINN_LAYOUT_NCHW;
  output_16->dim[0] = 1;
  output_16->dim[1] = 16;
  output_16->dim[2] = 96;
  output_16->dim[3] = 160;
  output_16->dim_count = 4;
  output_16->qinfo = (struct csinn_quant_info *)(params_base + 7536);
  output_16->quant_channel = 1;
  struct csinn_diso_params *params_16 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_16->base.name = "multiply_/model.2/cv1/act/Mul_15";
  params_16->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_12, output_15, output_16, params_16);
  struct csinn_tensor *output_19 = csinn_alloc_tensor(sess);
  output_19->name = "output_19";
  output_19->dtype = CSINN_DTYPE_INT8;
  output_19->layout = CSINN_LAYOUT_NCHW;
  output_19->dim[0] = 1;
  output_19->dim[1] = 16;
  output_19->dim[2] = 96;
  output_19->dim[3] = 160;
  output_19->dim_count = 4;
  output_19->qinfo = (struct csinn_quant_info *)(params_base + 7560);
  output_19->quant_channel = 1;
  struct csinn_tensor *kernel_19 = csinn_alloc_tensor(sess);
  kernel_19->name = "kernel_19";
  kernel_19->data = params_base + 7608;
  kernel_19->is_const = 1;
  kernel_19->dtype = CSINN_DTYPE_INT8;
  kernel_19->layout = CSINN_LAYOUT_OIHW;
  kernel_19->dim[0] = 16;
  kernel_19->dim[1] = 16;
  kernel_19->dim[2] = 1;
  kernel_19->dim[3] = 1;
  kernel_19->dim_count = 4;
  kernel_19->qinfo = (struct csinn_quant_info *)(params_base + 7584);
  kernel_19->quant_channel = 1;
  struct csinn_tensor *bias_19 = csinn_alloc_tensor(sess);
  bias_19->name = "bias_19";
  bias_19->data = params_base + 7888;
  bias_19->is_const = 1;
  bias_19->dtype = CSINN_DTYPE_INT32;
  bias_19->layout = CSINN_LAYOUT_O;
  bias_19->dim[0] = 16;
  bias_19->dim_count = 1;
  bias_19->qinfo = (struct csinn_quant_info *)(params_base + 7864);
  bias_19->quant_channel = 1;
  struct csinn_conv2d_params *params_19 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_19->group = 1;
  params_19->stride_height = 1;
  params_19->stride_width = 1;
  params_19->dilation_height = 1;
  params_19->dilation_width = 1;
  params_19->conv_extra.kernel_tm = NULL;
  params_19->conv_extra.conv_mode = CSINN_DIRECT;
  params_19->pad_top = 0;
  params_19->pad_left = 0;
  params_19->pad_down = 0;
  params_19->pad_right = 0;
  params_19->base.name = "conv2d_/model.2/m/m.0/cv1/conv/Conv_PART_0_16_fuse_bias_add_/model.2/m/m.0/cv1/conv/Conv_17";
  params_19->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_16, output_19, kernel_19, bias_19, params_19);
  struct csinn_tensor *output_21 = csinn_alloc_tensor(sess);
  output_21->name = "output_21";
  output_21->dtype = CSINN_DTYPE_INT8;
  output_21->layout = CSINN_LAYOUT_NCHW;
  output_21->dim[0] = 1;
  output_21->dim[1] = 16;
  output_21->dim[2] = 96;
  output_21->dim[3] = 160;
  output_21->dim_count = 4;
  output_21->qinfo = (struct csinn_quant_info *)(params_base + 7952);
  output_21->quant_channel = 1;
  struct csinn_sigmoid_params *params_21 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_21->base.name = "sigmoid_/model.2/m/m.0/cv1/act/Sigmoid_18";
  params_21->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_19, output_21, params_21);
  struct csinn_tensor *output_22 = csinn_alloc_tensor(sess);
  output_22->name = "output_22";
  output_22->dtype = CSINN_DTYPE_INT8;
  output_22->layout = CSINN_LAYOUT_NCHW;
  output_22->dim[0] = 1;
  output_22->dim[1] = 16;
  output_22->dim[2] = 96;
  output_22->dim[3] = 160;
  output_22->dim_count = 4;
  output_22->qinfo = (struct csinn_quant_info *)(params_base + 7976);
  output_22->quant_channel = 1;
  struct csinn_relu_params *params_22 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_22->base.name = "relu_19";
  params_22->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_21, output_22, params_22);
  struct csinn_tensor *output_23 = csinn_alloc_tensor(sess);
  output_23->name = "output_23";
  output_23->dtype = CSINN_DTYPE_INT8;
  output_23->layout = CSINN_LAYOUT_NCHW;
  output_23->dim[0] = 1;
  output_23->dim[1] = 16;
  output_23->dim[2] = 96;
  output_23->dim[3] = 160;
  output_23->dim_count = 4;
  output_23->qinfo = (struct csinn_quant_info *)(params_base + 8000);
  output_23->quant_channel = 1;
  struct csinn_diso_params *params_23 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_23->base.name = "multiply_/model.2/m/m.0/cv1/act/Mul_20";
  params_23->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_19, output_22, output_23, params_23);
  struct csinn_tensor *output_25 = csinn_alloc_tensor(sess);
  output_25->name = "output_25";
  output_25->dtype = CSINN_DTYPE_INT8;
  output_25->layout = CSINN_LAYOUT_NCHW;
  output_25->dim[0] = 1;
  output_25->dim[1] = 16;
  output_25->dim[2] = 96;
  output_25->dim[3] = 160;
  output_25->dim_count = 4;
  output_25->qinfo = (struct csinn_quant_info *)(params_base + 8024);
  output_25->quant_channel = 1;
  struct csinn_tensor *kernel_25 = csinn_alloc_tensor(sess);
  kernel_25->name = "kernel_25";
  kernel_25->data = params_base + 8072;
  kernel_25->is_const = 1;
  kernel_25->dtype = CSINN_DTYPE_INT8;
  kernel_25->layout = CSINN_LAYOUT_OIHW;
  kernel_25->dim[0] = 16;
  kernel_25->dim[1] = 16;
  kernel_25->dim[2] = 3;
  kernel_25->dim[3] = 3;
  kernel_25->dim_count = 4;
  kernel_25->qinfo = (struct csinn_quant_info *)(params_base + 8048);
  kernel_25->quant_channel = 1;
  struct csinn_tensor *bias_25 = csinn_alloc_tensor(sess);
  bias_25->name = "bias_25";
  bias_25->data = params_base + 10400;
  bias_25->is_const = 1;
  bias_25->dtype = CSINN_DTYPE_INT32;
  bias_25->layout = CSINN_LAYOUT_O;
  bias_25->dim[0] = 16;
  bias_25->dim_count = 1;
  bias_25->qinfo = (struct csinn_quant_info *)(params_base + 10376);
  bias_25->quant_channel = 1;
  struct csinn_conv2d_params *params_25 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_25->group = 1;
  params_25->stride_height = 1;
  params_25->stride_width = 1;
  params_25->dilation_height = 1;
  params_25->dilation_width = 1;
  params_25->conv_extra.kernel_tm = NULL;
  params_25->conv_extra.conv_mode = CSINN_DIRECT;
  params_25->pad_top = 1;
  params_25->pad_left = 1;
  params_25->pad_down = 1;
  params_25->pad_right = 1;
  params_25->base.name = "conv2d_/model.2/m/m.0/cv2/conv/Conv_PART_0_21_fuse_bias_add_/model.2/m/m.0/cv2/conv/Conv_22";
  params_25->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_23, output_25, kernel_25, bias_25, params_25);
  struct csinn_tensor *output_27 = csinn_alloc_tensor(sess);
  output_27->name = "output_27";
  output_27->dtype = CSINN_DTYPE_INT8;
  output_27->layout = CSINN_LAYOUT_NCHW;
  output_27->dim[0] = 1;
  output_27->dim[1] = 16;
  output_27->dim[2] = 96;
  output_27->dim[3] = 160;
  output_27->dim_count = 4;
  output_27->qinfo = (struct csinn_quant_info *)(params_base + 10464);
  output_27->quant_channel = 1;
  struct csinn_sigmoid_params *params_27 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_27->base.name = "sigmoid_/model.2/m/m.0/cv2/act/Sigmoid_23";
  params_27->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_25, output_27, params_27);
  struct csinn_tensor *output_28 = csinn_alloc_tensor(sess);
  output_28->name = "output_28";
  output_28->dtype = CSINN_DTYPE_INT8;
  output_28->layout = CSINN_LAYOUT_NCHW;
  output_28->dim[0] = 1;
  output_28->dim[1] = 16;
  output_28->dim[2] = 96;
  output_28->dim[3] = 160;
  output_28->dim_count = 4;
  output_28->qinfo = (struct csinn_quant_info *)(params_base + 10488);
  output_28->quant_channel = 1;
  struct csinn_relu_params *params_28 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_28->base.name = "relu_24";
  params_28->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_27, output_28, params_28);
  struct csinn_tensor *output_29 = csinn_alloc_tensor(sess);
  output_29->name = "output_29";
  output_29->dtype = CSINN_DTYPE_INT8;
  output_29->layout = CSINN_LAYOUT_NCHW;
  output_29->dim[0] = 1;
  output_29->dim[1] = 16;
  output_29->dim[2] = 96;
  output_29->dim[3] = 160;
  output_29->dim_count = 4;
  output_29->qinfo = (struct csinn_quant_info *)(params_base + 10512);
  output_29->quant_channel = 1;
  struct csinn_diso_params *params_29 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_29->base.name = "multiply_/model.2/m/m.0/cv2/act/Mul_25";
  params_29->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_25, output_28, output_29, params_29);
  struct csinn_tensor *output_31 = csinn_alloc_tensor(sess);
  output_31->name = "output_31";
  output_31->dtype = CSINN_DTYPE_INT8;
  output_31->layout = CSINN_LAYOUT_NCHW;
  output_31->dim[0] = 1;
  output_31->dim[1] = 16;
  output_31->dim[2] = 96;
  output_31->dim[3] = 160;
  output_31->dim_count = 4;
  output_31->qinfo = (struct csinn_quant_info *)(params_base + 10536);
  output_31->quant_channel = 1;
  struct csinn_diso_params *params_31 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_31->base.name = "add_/model.2/m/m.0/Add_26";
  params_31->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_16, output_29, output_31, params_31);
  struct csinn_tensor *output_33 = csinn_alloc_tensor(sess);
  output_33->name = "output_33";
  output_33->dtype = CSINN_DTYPE_INT8;
  output_33->layout = CSINN_LAYOUT_NCHW;
  output_33->dim[0] = 1;
  output_33->dim[1] = 16;
  output_33->dim[2] = 96;
  output_33->dim[3] = 160;
  output_33->dim_count = 4;
  output_33->qinfo = (struct csinn_quant_info *)(params_base + 10560);
  output_33->quant_channel = 1;
  struct csinn_tensor *kernel_33 = csinn_alloc_tensor(sess);
  kernel_33->name = "kernel_33";
  kernel_33->data = params_base + 10608;
  kernel_33->is_const = 1;
  kernel_33->dtype = CSINN_DTYPE_INT8;
  kernel_33->layout = CSINN_LAYOUT_OIHW;
  kernel_33->dim[0] = 16;
  kernel_33->dim[1] = 32;
  kernel_33->dim[2] = 1;
  kernel_33->dim[3] = 1;
  kernel_33->dim_count = 4;
  kernel_33->qinfo = (struct csinn_quant_info *)(params_base + 10584);
  kernel_33->quant_channel = 1;
  struct csinn_tensor *bias_33 = csinn_alloc_tensor(sess);
  bias_33->name = "bias_33";
  bias_33->data = params_base + 11144;
  bias_33->is_const = 1;
  bias_33->dtype = CSINN_DTYPE_INT32;
  bias_33->layout = CSINN_LAYOUT_O;
  bias_33->dim[0] = 16;
  bias_33->dim_count = 1;
  bias_33->qinfo = (struct csinn_quant_info *)(params_base + 11120);
  bias_33->quant_channel = 1;
  struct csinn_conv2d_params *params_33 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_33->group = 1;
  params_33->stride_height = 1;
  params_33->stride_width = 1;
  params_33->dilation_height = 1;
  params_33->dilation_width = 1;
  params_33->conv_extra.kernel_tm = NULL;
  params_33->conv_extra.conv_mode = CSINN_DIRECT;
  params_33->pad_top = 0;
  params_33->pad_left = 0;
  params_33->pad_down = 0;
  params_33->pad_right = 0;
  params_33->base.name = "conv2d_/model.2/cv2/conv/Conv_PART_0_27_fuse_bias_add_/model.2/cv2/conv/Conv_28";
  params_33->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_10, output_33, kernel_33, bias_33, params_33);
  struct csinn_tensor *output_35 = csinn_alloc_tensor(sess);
  output_35->name = "output_35";
  output_35->dtype = CSINN_DTYPE_INT8;
  output_35->layout = CSINN_LAYOUT_NCHW;
  output_35->dim[0] = 1;
  output_35->dim[1] = 16;
  output_35->dim[2] = 96;
  output_35->dim[3] = 160;
  output_35->dim_count = 4;
  output_35->qinfo = (struct csinn_quant_info *)(params_base + 11208);
  output_35->quant_channel = 1;
  struct csinn_sigmoid_params *params_35 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_35->base.name = "sigmoid_/model.2/cv2/act/Sigmoid_29";
  params_35->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_33, output_35, params_35);
  struct csinn_tensor *output_36 = csinn_alloc_tensor(sess);
  output_36->name = "output_36";
  output_36->dtype = CSINN_DTYPE_INT8;
  output_36->layout = CSINN_LAYOUT_NCHW;
  output_36->dim[0] = 1;
  output_36->dim[1] = 16;
  output_36->dim[2] = 96;
  output_36->dim[3] = 160;
  output_36->dim_count = 4;
  output_36->qinfo = (struct csinn_quant_info *)(params_base + 11232);
  output_36->quant_channel = 1;
  struct csinn_relu_params *params_36 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_36->base.name = "relu_30";
  params_36->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_35, output_36, params_36);
  struct csinn_tensor *output_37 = csinn_alloc_tensor(sess);
  output_37->name = "output_37";
  output_37->dtype = CSINN_DTYPE_INT8;
  output_37->layout = CSINN_LAYOUT_NCHW;
  output_37->dim[0] = 1;
  output_37->dim[1] = 16;
  output_37->dim[2] = 96;
  output_37->dim[3] = 160;
  output_37->dim_count = 4;
  output_37->qinfo = (struct csinn_quant_info *)(params_base + 11256);
  output_37->quant_channel = 1;
  struct csinn_diso_params *params_37 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_37->base.name = "multiply_/model.2/cv2/act/Mul_31";
  params_37->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_33, output_36, output_37, params_37);
  struct csinn_tensor *input_39_concat[2];
  struct csinn_tensor *output_39 = csinn_alloc_tensor(sess);
  output_39->name = "output_39";
  output_39->dtype = CSINN_DTYPE_INT8;
  output_39->layout = CSINN_LAYOUT_NCHW;
  output_39->dim[0] = 1;
  output_39->dim[1] = 32;
  output_39->dim[2] = 96;
  output_39->dim[3] = 160;
  output_39->dim_count = 4;
  output_39->qinfo = (struct csinn_quant_info *)(params_base + 11280);
  output_39->quant_channel = 1;
  struct csinn_concat_params *params_39 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_39->inputs_count = 2;
  params_39->axis = 1;
  params_39->base.name = "concatenate_/model.2/Concat_32";
  params_39->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_39_concat, output_39, params_39);
  struct csinn_tensor *output_40 = csinn_alloc_tensor(sess);
  output_40->name = "output_40";
  output_40->dtype = CSINN_DTYPE_INT8;
  output_40->layout = CSINN_LAYOUT_NCHW;
  output_40->dim[0] = 1;
  output_40->dim[1] = 32;
  output_40->dim[2] = 96;
  output_40->dim[3] = 160;
  output_40->dim_count = 4;
  output_40->qinfo = (struct csinn_quant_info *)(params_base + 11304);
  output_40->quant_channel = 1;
  struct csinn_tensor *kernel_40 = csinn_alloc_tensor(sess);
  kernel_40->name = "kernel_40";
  kernel_40->data = params_base + 11352;
  kernel_40->is_const = 1;
  kernel_40->dtype = CSINN_DTYPE_INT8;
  kernel_40->layout = CSINN_LAYOUT_OIHW;
  kernel_40->dim[0] = 32;
  kernel_40->dim[1] = 32;
  kernel_40->dim[2] = 1;
  kernel_40->dim[3] = 1;
  kernel_40->dim_count = 4;
  kernel_40->qinfo = (struct csinn_quant_info *)(params_base + 11328);
  kernel_40->quant_channel = 1;
  struct csinn_tensor *bias_40 = csinn_alloc_tensor(sess);
  bias_40->name = "bias_40";
  bias_40->data = params_base + 12400;
  bias_40->is_const = 1;
  bias_40->dtype = CSINN_DTYPE_INT32;
  bias_40->layout = CSINN_LAYOUT_O;
  bias_40->dim[0] = 32;
  bias_40->dim_count = 1;
  bias_40->qinfo = (struct csinn_quant_info *)(params_base + 12376);
  bias_40->quant_channel = 1;
  struct csinn_conv2d_params *params_40 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_40->group = 1;
  params_40->stride_height = 1;
  params_40->stride_width = 1;
  params_40->dilation_height = 1;
  params_40->dilation_width = 1;
  params_40->conv_extra.kernel_tm = NULL;
  params_40->conv_extra.conv_mode = CSINN_DIRECT;
  params_40->pad_top = 0;
  params_40->pad_left = 0;
  params_40->pad_down = 0;
  params_40->pad_right = 0;
  params_40->base.name = "conv2d_/model.2/cv3/conv/Conv_PART_0_33_fuse_bias_add_/model.2/cv3/conv/Conv_34";
  params_40->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_39, output_40, kernel_40, bias_40, params_40);
  struct csinn_tensor *output_42 = csinn_alloc_tensor(sess);
  output_42->name = "output_42";
  output_42->dtype = CSINN_DTYPE_INT8;
  output_42->layout = CSINN_LAYOUT_NCHW;
  output_42->dim[0] = 1;
  output_42->dim[1] = 32;
  output_42->dim[2] = 96;
  output_42->dim[3] = 160;
  output_42->dim_count = 4;
  output_42->qinfo = (struct csinn_quant_info *)(params_base + 12528);
  output_42->quant_channel = 1;
  struct csinn_sigmoid_params *params_42 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_42->base.name = "sigmoid_/model.2/cv3/act/Sigmoid_35";
  params_42->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_40, output_42, params_42);
  struct csinn_tensor *output_43 = csinn_alloc_tensor(sess);
  output_43->name = "output_43";
  output_43->dtype = CSINN_DTYPE_INT8;
  output_43->layout = CSINN_LAYOUT_NCHW;
  output_43->dim[0] = 1;
  output_43->dim[1] = 32;
  output_43->dim[2] = 96;
  output_43->dim[3] = 160;
  output_43->dim_count = 4;
  output_43->qinfo = (struct csinn_quant_info *)(params_base + 12552);
  output_43->quant_channel = 1;
  struct csinn_relu_params *params_43 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_43->base.name = "relu_36";
  params_43->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_42, output_43, params_43);
  struct csinn_tensor *output_44 = csinn_alloc_tensor(sess);
  output_44->name = "output_44";
  output_44->dtype = CSINN_DTYPE_INT8;
  output_44->layout = CSINN_LAYOUT_NCHW;
  output_44->dim[0] = 1;
  output_44->dim[1] = 32;
  output_44->dim[2] = 96;
  output_44->dim[3] = 160;
  output_44->dim_count = 4;
  output_44->qinfo = (struct csinn_quant_info *)(params_base + 12576);
  output_44->quant_channel = 1;
  struct csinn_diso_params *params_44 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_44->base.name = "multiply_/model.2/cv3/act/Mul_37";
  params_44->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_40, output_43, output_44, params_44);
  struct csinn_tensor *output_46 = csinn_alloc_tensor(sess);
  output_46->name = "output_46";
  output_46->dtype = CSINN_DTYPE_INT8;
  output_46->layout = CSINN_LAYOUT_NCHW;
  output_46->dim[0] = 1;
  output_46->dim[1] = 64;
  output_46->dim[2] = 48;
  output_46->dim[3] = 80;
  output_46->dim_count = 4;
  output_46->qinfo = (struct csinn_quant_info *)(params_base + 12600);
  output_46->quant_channel = 1;
  struct csinn_tensor *kernel_46 = csinn_alloc_tensor(sess);
  kernel_46->name = "kernel_46";
  kernel_46->data = params_base + 12648;
  kernel_46->is_const = 1;
  kernel_46->dtype = CSINN_DTYPE_INT8;
  kernel_46->layout = CSINN_LAYOUT_OIHW;
  kernel_46->dim[0] = 64;
  kernel_46->dim[1] = 32;
  kernel_46->dim[2] = 3;
  kernel_46->dim[3] = 3;
  kernel_46->dim_count = 4;
  kernel_46->qinfo = (struct csinn_quant_info *)(params_base + 12624);
  kernel_46->quant_channel = 1;
  struct csinn_tensor *bias_46 = csinn_alloc_tensor(sess);
  bias_46->name = "bias_46";
  bias_46->data = params_base + 31104;
  bias_46->is_const = 1;
  bias_46->dtype = CSINN_DTYPE_INT32;
  bias_46->layout = CSINN_LAYOUT_O;
  bias_46->dim[0] = 64;
  bias_46->dim_count = 1;
  bias_46->qinfo = (struct csinn_quant_info *)(params_base + 31080);
  bias_46->quant_channel = 1;
  struct csinn_conv2d_params *params_46 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_46->group = 1;
  params_46->stride_height = 2;
  params_46->stride_width = 2;
  params_46->dilation_height = 1;
  params_46->dilation_width = 1;
  params_46->conv_extra.kernel_tm = NULL;
  params_46->conv_extra.conv_mode = CSINN_DIRECT;
  params_46->pad_top = 1;
  params_46->pad_left = 1;
  params_46->pad_down = 1;
  params_46->pad_right = 1;
  params_46->base.name = "conv2d_/model.3/conv/Conv_PART_0_38_fuse_bias_add_/model.3/conv/Conv_39";
  params_46->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_44, output_46, kernel_46, bias_46, params_46);
  struct csinn_tensor *output_48 = csinn_alloc_tensor(sess);
  output_48->name = "output_48";
  output_48->dtype = CSINN_DTYPE_INT8;
  output_48->layout = CSINN_LAYOUT_NCHW;
  output_48->dim[0] = 1;
  output_48->dim[1] = 64;
  output_48->dim[2] = 48;
  output_48->dim[3] = 80;
  output_48->dim_count = 4;
  output_48->qinfo = (struct csinn_quant_info *)(params_base + 31360);
  output_48->quant_channel = 1;
  struct csinn_sigmoid_params *params_48 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_48->base.name = "sigmoid_/model.3/act/Sigmoid_40";
  params_48->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_46, output_48, params_48);
  struct csinn_tensor *output_49 = csinn_alloc_tensor(sess);
  output_49->name = "output_49";
  output_49->dtype = CSINN_DTYPE_INT8;
  output_49->layout = CSINN_LAYOUT_NCHW;
  output_49->dim[0] = 1;
  output_49->dim[1] = 64;
  output_49->dim[2] = 48;
  output_49->dim[3] = 80;
  output_49->dim_count = 4;
  output_49->qinfo = (struct csinn_quant_info *)(params_base + 31384);
  output_49->quant_channel = 1;
  struct csinn_relu_params *params_49 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_49->base.name = "relu_41";
  params_49->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_48, output_49, params_49);
  struct csinn_tensor *output_50 = csinn_alloc_tensor(sess);
  output_50->name = "output_50";
  output_50->dtype = CSINN_DTYPE_INT8;
  output_50->layout = CSINN_LAYOUT_NCHW;
  output_50->dim[0] = 1;
  output_50->dim[1] = 64;
  output_50->dim[2] = 48;
  output_50->dim[3] = 80;
  output_50->dim_count = 4;
  output_50->qinfo = (struct csinn_quant_info *)(params_base + 31408);
  output_50->quant_channel = 1;
  struct csinn_diso_params *params_50 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_50->base.name = "multiply_/model.3/act/Mul_42";
  params_50->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_46, output_49, output_50, params_50);
  struct csinn_tensor *output_52 = csinn_alloc_tensor(sess);
  output_52->name = "output_52";
  output_52->dtype = CSINN_DTYPE_INT8;
  output_52->layout = CSINN_LAYOUT_NCHW;
  output_52->dim[0] = 1;
  output_52->dim[1] = 32;
  output_52->dim[2] = 48;
  output_52->dim[3] = 80;
  output_52->dim_count = 4;
  output_52->qinfo = (struct csinn_quant_info *)(params_base + 31432);
  output_52->quant_channel = 1;
  struct csinn_tensor *kernel_52 = csinn_alloc_tensor(sess);
  kernel_52->name = "kernel_52";
  kernel_52->data = params_base + 31480;
  kernel_52->is_const = 1;
  kernel_52->dtype = CSINN_DTYPE_INT8;
  kernel_52->layout = CSINN_LAYOUT_OIHW;
  kernel_52->dim[0] = 32;
  kernel_52->dim[1] = 64;
  kernel_52->dim[2] = 1;
  kernel_52->dim[3] = 1;
  kernel_52->dim_count = 4;
  kernel_52->qinfo = (struct csinn_quant_info *)(params_base + 31456);
  kernel_52->quant_channel = 1;
  struct csinn_tensor *bias_52 = csinn_alloc_tensor(sess);
  bias_52->name = "bias_52";
  bias_52->data = params_base + 33552;
  bias_52->is_const = 1;
  bias_52->dtype = CSINN_DTYPE_INT32;
  bias_52->layout = CSINN_LAYOUT_O;
  bias_52->dim[0] = 32;
  bias_52->dim_count = 1;
  bias_52->qinfo = (struct csinn_quant_info *)(params_base + 33528);
  bias_52->quant_channel = 1;
  struct csinn_conv2d_params *params_52 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_52->group = 1;
  params_52->stride_height = 1;
  params_52->stride_width = 1;
  params_52->dilation_height = 1;
  params_52->dilation_width = 1;
  params_52->conv_extra.kernel_tm = NULL;
  params_52->conv_extra.conv_mode = CSINN_DIRECT;
  params_52->pad_top = 0;
  params_52->pad_left = 0;
  params_52->pad_down = 0;
  params_52->pad_right = 0;
  params_52->base.name = "conv2d_/model.4/cv1/conv/Conv_PART_0_43_fuse_bias_add_/model.4/cv1/conv/Conv_44";
  params_52->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_50, output_52, kernel_52, bias_52, params_52);
  struct csinn_tensor *output_54 = csinn_alloc_tensor(sess);
  output_54->name = "output_54";
  output_54->dtype = CSINN_DTYPE_INT8;
  output_54->layout = CSINN_LAYOUT_NCHW;
  output_54->dim[0] = 1;
  output_54->dim[1] = 32;
  output_54->dim[2] = 48;
  output_54->dim[3] = 80;
  output_54->dim_count = 4;
  output_54->qinfo = (struct csinn_quant_info *)(params_base + 33680);
  output_54->quant_channel = 1;
  struct csinn_sigmoid_params *params_54 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_54->base.name = "sigmoid_/model.4/cv1/act/Sigmoid_45";
  params_54->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_52, output_54, params_54);
  struct csinn_tensor *output_55 = csinn_alloc_tensor(sess);
  output_55->name = "output_55";
  output_55->dtype = CSINN_DTYPE_INT8;
  output_55->layout = CSINN_LAYOUT_NCHW;
  output_55->dim[0] = 1;
  output_55->dim[1] = 32;
  output_55->dim[2] = 48;
  output_55->dim[3] = 80;
  output_55->dim_count = 4;
  output_55->qinfo = (struct csinn_quant_info *)(params_base + 33704);
  output_55->quant_channel = 1;
  struct csinn_relu_params *params_55 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_55->base.name = "relu_46";
  params_55->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_54, output_55, params_55);
  struct csinn_tensor *output_56 = csinn_alloc_tensor(sess);
  output_56->name = "output_56";
  output_56->dtype = CSINN_DTYPE_INT8;
  output_56->layout = CSINN_LAYOUT_NCHW;
  output_56->dim[0] = 1;
  output_56->dim[1] = 32;
  output_56->dim[2] = 48;
  output_56->dim[3] = 80;
  output_56->dim_count = 4;
  output_56->qinfo = (struct csinn_quant_info *)(params_base + 33728);
  output_56->quant_channel = 1;
  struct csinn_diso_params *params_56 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_56->base.name = "multiply_/model.4/cv1/act/Mul_47";
  params_56->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_52, output_55, output_56, params_56);
  struct csinn_tensor *output_59 = csinn_alloc_tensor(sess);
  output_59->name = "output_59";
  output_59->dtype = CSINN_DTYPE_INT8;
  output_59->layout = CSINN_LAYOUT_NCHW;
  output_59->dim[0] = 1;
  output_59->dim[1] = 32;
  output_59->dim[2] = 48;
  output_59->dim[3] = 80;
  output_59->dim_count = 4;
  output_59->qinfo = (struct csinn_quant_info *)(params_base + 33752);
  output_59->quant_channel = 1;
  struct csinn_tensor *kernel_59 = csinn_alloc_tensor(sess);
  kernel_59->name = "kernel_59";
  kernel_59->data = params_base + 33800;
  kernel_59->is_const = 1;
  kernel_59->dtype = CSINN_DTYPE_INT8;
  kernel_59->layout = CSINN_LAYOUT_OIHW;
  kernel_59->dim[0] = 32;
  kernel_59->dim[1] = 32;
  kernel_59->dim[2] = 1;
  kernel_59->dim[3] = 1;
  kernel_59->dim_count = 4;
  kernel_59->qinfo = (struct csinn_quant_info *)(params_base + 33776);
  kernel_59->quant_channel = 1;
  struct csinn_tensor *bias_59 = csinn_alloc_tensor(sess);
  bias_59->name = "bias_59";
  bias_59->data = params_base + 34848;
  bias_59->is_const = 1;
  bias_59->dtype = CSINN_DTYPE_INT32;
  bias_59->layout = CSINN_LAYOUT_O;
  bias_59->dim[0] = 32;
  bias_59->dim_count = 1;
  bias_59->qinfo = (struct csinn_quant_info *)(params_base + 34824);
  bias_59->quant_channel = 1;
  struct csinn_conv2d_params *params_59 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_59->group = 1;
  params_59->stride_height = 1;
  params_59->stride_width = 1;
  params_59->dilation_height = 1;
  params_59->dilation_width = 1;
  params_59->conv_extra.kernel_tm = NULL;
  params_59->conv_extra.conv_mode = CSINN_DIRECT;
  params_59->pad_top = 0;
  params_59->pad_left = 0;
  params_59->pad_down = 0;
  params_59->pad_right = 0;
  params_59->base.name = "conv2d_/model.4/m/m.0/cv1/conv/Conv_PART_0_48_fuse_bias_add_/model.4/m/m.0/cv1/conv/Conv_49";
  params_59->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_56, output_59, kernel_59, bias_59, params_59);
  struct csinn_tensor *output_61 = csinn_alloc_tensor(sess);
  output_61->name = "output_61";
  output_61->dtype = CSINN_DTYPE_INT8;
  output_61->layout = CSINN_LAYOUT_NCHW;
  output_61->dim[0] = 1;
  output_61->dim[1] = 32;
  output_61->dim[2] = 48;
  output_61->dim[3] = 80;
  output_61->dim_count = 4;
  output_61->qinfo = (struct csinn_quant_info *)(params_base + 34976);
  output_61->quant_channel = 1;
  struct csinn_sigmoid_params *params_61 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_61->base.name = "sigmoid_/model.4/m/m.0/cv1/act/Sigmoid_50";
  params_61->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_59, output_61, params_61);
  struct csinn_tensor *output_62 = csinn_alloc_tensor(sess);
  output_62->name = "output_62";
  output_62->dtype = CSINN_DTYPE_INT8;
  output_62->layout = CSINN_LAYOUT_NCHW;
  output_62->dim[0] = 1;
  output_62->dim[1] = 32;
  output_62->dim[2] = 48;
  output_62->dim[3] = 80;
  output_62->dim_count = 4;
  output_62->qinfo = (struct csinn_quant_info *)(params_base + 35000);
  output_62->quant_channel = 1;
  struct csinn_relu_params *params_62 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_62->base.name = "relu_51";
  params_62->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_61, output_62, params_62);
  struct csinn_tensor *output_63 = csinn_alloc_tensor(sess);
  output_63->name = "output_63";
  output_63->dtype = CSINN_DTYPE_INT8;
  output_63->layout = CSINN_LAYOUT_NCHW;
  output_63->dim[0] = 1;
  output_63->dim[1] = 32;
  output_63->dim[2] = 48;
  output_63->dim[3] = 80;
  output_63->dim_count = 4;
  output_63->qinfo = (struct csinn_quant_info *)(params_base + 35024);
  output_63->quant_channel = 1;
  struct csinn_diso_params *params_63 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_63->base.name = "multiply_/model.4/m/m.0/cv1/act/Mul_52";
  params_63->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_59, output_62, output_63, params_63);
  struct csinn_tensor *output_65 = csinn_alloc_tensor(sess);
  output_65->name = "output_65";
  output_65->dtype = CSINN_DTYPE_INT8;
  output_65->layout = CSINN_LAYOUT_NCHW;
  output_65->dim[0] = 1;
  output_65->dim[1] = 32;
  output_65->dim[2] = 48;
  output_65->dim[3] = 80;
  output_65->dim_count = 4;
  output_65->qinfo = (struct csinn_quant_info *)(params_base + 35048);
  output_65->quant_channel = 1;
  struct csinn_tensor *kernel_65 = csinn_alloc_tensor(sess);
  kernel_65->name = "kernel_65";
  kernel_65->data = params_base + 35096;
  kernel_65->is_const = 1;
  kernel_65->dtype = CSINN_DTYPE_INT8;
  kernel_65->layout = CSINN_LAYOUT_OIHW;
  kernel_65->dim[0] = 32;
  kernel_65->dim[1] = 32;
  kernel_65->dim[2] = 3;
  kernel_65->dim[3] = 3;
  kernel_65->dim_count = 4;
  kernel_65->qinfo = (struct csinn_quant_info *)(params_base + 35072);
  kernel_65->quant_channel = 1;
  struct csinn_tensor *bias_65 = csinn_alloc_tensor(sess);
  bias_65->name = "bias_65";
  bias_65->data = params_base + 44336;
  bias_65->is_const = 1;
  bias_65->dtype = CSINN_DTYPE_INT32;
  bias_65->layout = CSINN_LAYOUT_O;
  bias_65->dim[0] = 32;
  bias_65->dim_count = 1;
  bias_65->qinfo = (struct csinn_quant_info *)(params_base + 44312);
  bias_65->quant_channel = 1;
  struct csinn_conv2d_params *params_65 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_65->group = 1;
  params_65->stride_height = 1;
  params_65->stride_width = 1;
  params_65->dilation_height = 1;
  params_65->dilation_width = 1;
  params_65->conv_extra.kernel_tm = NULL;
  params_65->conv_extra.conv_mode = CSINN_DIRECT;
  params_65->pad_top = 1;
  params_65->pad_left = 1;
  params_65->pad_down = 1;
  params_65->pad_right = 1;
  params_65->base.name = "conv2d_/model.4/m/m.0/cv2/conv/Conv_PART_0_53_fuse_bias_add_/model.4/m/m.0/cv2/conv/Conv_54";
  params_65->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_63, output_65, kernel_65, bias_65, params_65);
  struct csinn_tensor *output_67 = csinn_alloc_tensor(sess);
  output_67->name = "output_67";
  output_67->dtype = CSINN_DTYPE_INT8;
  output_67->layout = CSINN_LAYOUT_NCHW;
  output_67->dim[0] = 1;
  output_67->dim[1] = 32;
  output_67->dim[2] = 48;
  output_67->dim[3] = 80;
  output_67->dim_count = 4;
  output_67->qinfo = (struct csinn_quant_info *)(params_base + 44464);
  output_67->quant_channel = 1;
  struct csinn_sigmoid_params *params_67 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_67->base.name = "sigmoid_/model.4/m/m.0/cv2/act/Sigmoid_55";
  params_67->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_65, output_67, params_67);
  struct csinn_tensor *output_68 = csinn_alloc_tensor(sess);
  output_68->name = "output_68";
  output_68->dtype = CSINN_DTYPE_INT8;
  output_68->layout = CSINN_LAYOUT_NCHW;
  output_68->dim[0] = 1;
  output_68->dim[1] = 32;
  output_68->dim[2] = 48;
  output_68->dim[3] = 80;
  output_68->dim_count = 4;
  output_68->qinfo = (struct csinn_quant_info *)(params_base + 44488);
  output_68->quant_channel = 1;
  struct csinn_relu_params *params_68 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_68->base.name = "relu_56";
  params_68->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_67, output_68, params_68);
  struct csinn_tensor *output_69 = csinn_alloc_tensor(sess);
  output_69->name = "output_69";
  output_69->dtype = CSINN_DTYPE_INT8;
  output_69->layout = CSINN_LAYOUT_NCHW;
  output_69->dim[0] = 1;
  output_69->dim[1] = 32;
  output_69->dim[2] = 48;
  output_69->dim[3] = 80;
  output_69->dim_count = 4;
  output_69->qinfo = (struct csinn_quant_info *)(params_base + 44512);
  output_69->quant_channel = 1;
  struct csinn_diso_params *params_69 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_69->base.name = "multiply_/model.4/m/m.0/cv2/act/Mul_57";
  params_69->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_65, output_68, output_69, params_69);
  struct csinn_tensor *output_71 = csinn_alloc_tensor(sess);
  output_71->name = "output_71";
  output_71->dtype = CSINN_DTYPE_INT8;
  output_71->layout = CSINN_LAYOUT_NCHW;
  output_71->dim[0] = 1;
  output_71->dim[1] = 32;
  output_71->dim[2] = 48;
  output_71->dim[3] = 80;
  output_71->dim_count = 4;
  output_71->qinfo = (struct csinn_quant_info *)(params_base + 44536);
  output_71->quant_channel = 1;
  struct csinn_diso_params *params_71 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_71->base.name = "add_/model.4/m/m.0/Add_58";
  params_71->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_56, output_69, output_71, params_71);
  struct csinn_tensor *output_74 = csinn_alloc_tensor(sess);
  output_74->name = "output_74";
  output_74->dtype = CSINN_DTYPE_INT8;
  output_74->layout = CSINN_LAYOUT_NCHW;
  output_74->dim[0] = 1;
  output_74->dim[1] = 32;
  output_74->dim[2] = 48;
  output_74->dim[3] = 80;
  output_74->dim_count = 4;
  output_74->qinfo = (struct csinn_quant_info *)(params_base + 44560);
  output_74->quant_channel = 1;
  struct csinn_tensor *kernel_74 = csinn_alloc_tensor(sess);
  kernel_74->name = "kernel_74";
  kernel_74->data = params_base + 44608;
  kernel_74->is_const = 1;
  kernel_74->dtype = CSINN_DTYPE_INT8;
  kernel_74->layout = CSINN_LAYOUT_OIHW;
  kernel_74->dim[0] = 32;
  kernel_74->dim[1] = 32;
  kernel_74->dim[2] = 1;
  kernel_74->dim[3] = 1;
  kernel_74->dim_count = 4;
  kernel_74->qinfo = (struct csinn_quant_info *)(params_base + 44584);
  kernel_74->quant_channel = 1;
  struct csinn_tensor *bias_74 = csinn_alloc_tensor(sess);
  bias_74->name = "bias_74";
  bias_74->data = params_base + 45656;
  bias_74->is_const = 1;
  bias_74->dtype = CSINN_DTYPE_INT32;
  bias_74->layout = CSINN_LAYOUT_O;
  bias_74->dim[0] = 32;
  bias_74->dim_count = 1;
  bias_74->qinfo = (struct csinn_quant_info *)(params_base + 45632);
  bias_74->quant_channel = 1;
  struct csinn_conv2d_params *params_74 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_74->group = 1;
  params_74->stride_height = 1;
  params_74->stride_width = 1;
  params_74->dilation_height = 1;
  params_74->dilation_width = 1;
  params_74->conv_extra.kernel_tm = NULL;
  params_74->conv_extra.conv_mode = CSINN_DIRECT;
  params_74->pad_top = 0;
  params_74->pad_left = 0;
  params_74->pad_down = 0;
  params_74->pad_right = 0;
  params_74->base.name = "conv2d_/model.4/m/m.1/cv1/conv/Conv_PART_0_59_fuse_bias_add_/model.4/m/m.1/cv1/conv/Conv_60";
  params_74->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_71, output_74, kernel_74, bias_74, params_74);
  struct csinn_tensor *output_76 = csinn_alloc_tensor(sess);
  output_76->name = "output_76";
  output_76->dtype = CSINN_DTYPE_INT8;
  output_76->layout = CSINN_LAYOUT_NCHW;
  output_76->dim[0] = 1;
  output_76->dim[1] = 32;
  output_76->dim[2] = 48;
  output_76->dim[3] = 80;
  output_76->dim_count = 4;
  output_76->qinfo = (struct csinn_quant_info *)(params_base + 45784);
  output_76->quant_channel = 1;
  struct csinn_sigmoid_params *params_76 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_76->base.name = "sigmoid_/model.4/m/m.1/cv1/act/Sigmoid_61";
  params_76->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_74, output_76, params_76);
  struct csinn_tensor *output_77 = csinn_alloc_tensor(sess);
  output_77->name = "output_77";
  output_77->dtype = CSINN_DTYPE_INT8;
  output_77->layout = CSINN_LAYOUT_NCHW;
  output_77->dim[0] = 1;
  output_77->dim[1] = 32;
  output_77->dim[2] = 48;
  output_77->dim[3] = 80;
  output_77->dim_count = 4;
  output_77->qinfo = (struct csinn_quant_info *)(params_base + 45808);
  output_77->quant_channel = 1;
  struct csinn_relu_params *params_77 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_77->base.name = "relu_62";
  params_77->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_76, output_77, params_77);
  struct csinn_tensor *output_78 = csinn_alloc_tensor(sess);
  output_78->name = "output_78";
  output_78->dtype = CSINN_DTYPE_INT8;
  output_78->layout = CSINN_LAYOUT_NCHW;
  output_78->dim[0] = 1;
  output_78->dim[1] = 32;
  output_78->dim[2] = 48;
  output_78->dim[3] = 80;
  output_78->dim_count = 4;
  output_78->qinfo = (struct csinn_quant_info *)(params_base + 45832);
  output_78->quant_channel = 1;
  struct csinn_diso_params *params_78 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_78->base.name = "multiply_/model.4/m/m.1/cv1/act/Mul_63";
  params_78->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_74, output_77, output_78, params_78);
  struct csinn_tensor *output_80 = csinn_alloc_tensor(sess);
  output_80->name = "output_80";
  output_80->dtype = CSINN_DTYPE_INT8;
  output_80->layout = CSINN_LAYOUT_NCHW;
  output_80->dim[0] = 1;
  output_80->dim[1] = 32;
  output_80->dim[2] = 48;
  output_80->dim[3] = 80;
  output_80->dim_count = 4;
  output_80->qinfo = (struct csinn_quant_info *)(params_base + 45856);
  output_80->quant_channel = 1;
  struct csinn_tensor *kernel_80 = csinn_alloc_tensor(sess);
  kernel_80->name = "kernel_80";
  kernel_80->data = params_base + 45904;
  kernel_80->is_const = 1;
  kernel_80->dtype = CSINN_DTYPE_INT8;
  kernel_80->layout = CSINN_LAYOUT_OIHW;
  kernel_80->dim[0] = 32;
  kernel_80->dim[1] = 32;
  kernel_80->dim[2] = 3;
  kernel_80->dim[3] = 3;
  kernel_80->dim_count = 4;
  kernel_80->qinfo = (struct csinn_quant_info *)(params_base + 45880);
  kernel_80->quant_channel = 1;
  struct csinn_tensor *bias_80 = csinn_alloc_tensor(sess);
  bias_80->name = "bias_80";
  bias_80->data = params_base + 55144;
  bias_80->is_const = 1;
  bias_80->dtype = CSINN_DTYPE_INT32;
  bias_80->layout = CSINN_LAYOUT_O;
  bias_80->dim[0] = 32;
  bias_80->dim_count = 1;
  bias_80->qinfo = (struct csinn_quant_info *)(params_base + 55120);
  bias_80->quant_channel = 1;
  struct csinn_conv2d_params *params_80 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_80->group = 1;
  params_80->stride_height = 1;
  params_80->stride_width = 1;
  params_80->dilation_height = 1;
  params_80->dilation_width = 1;
  params_80->conv_extra.kernel_tm = NULL;
  params_80->conv_extra.conv_mode = CSINN_DIRECT;
  params_80->pad_top = 1;
  params_80->pad_left = 1;
  params_80->pad_down = 1;
  params_80->pad_right = 1;
  params_80->base.name = "conv2d_/model.4/m/m.1/cv2/conv/Conv_PART_0_64_fuse_bias_add_/model.4/m/m.1/cv2/conv/Conv_65";
  params_80->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_78, output_80, kernel_80, bias_80, params_80);
  struct csinn_tensor *output_82 = csinn_alloc_tensor(sess);
  output_82->name = "output_82";
  output_82->dtype = CSINN_DTYPE_INT8;
  output_82->layout = CSINN_LAYOUT_NCHW;
  output_82->dim[0] = 1;
  output_82->dim[1] = 32;
  output_82->dim[2] = 48;
  output_82->dim[3] = 80;
  output_82->dim_count = 4;
  output_82->qinfo = (struct csinn_quant_info *)(params_base + 55272);
  output_82->quant_channel = 1;
  struct csinn_sigmoid_params *params_82 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_82->base.name = "sigmoid_/model.4/m/m.1/cv2/act/Sigmoid_66";
  params_82->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_80, output_82, params_82);
  struct csinn_tensor *output_83 = csinn_alloc_tensor(sess);
  output_83->name = "output_83";
  output_83->dtype = CSINN_DTYPE_INT8;
  output_83->layout = CSINN_LAYOUT_NCHW;
  output_83->dim[0] = 1;
  output_83->dim[1] = 32;
  output_83->dim[2] = 48;
  output_83->dim[3] = 80;
  output_83->dim_count = 4;
  output_83->qinfo = (struct csinn_quant_info *)(params_base + 55296);
  output_83->quant_channel = 1;
  struct csinn_relu_params *params_83 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_83->base.name = "relu_67";
  params_83->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_82, output_83, params_83);
  struct csinn_tensor *output_84 = csinn_alloc_tensor(sess);
  output_84->name = "output_84";
  output_84->dtype = CSINN_DTYPE_INT8;
  output_84->layout = CSINN_LAYOUT_NCHW;
  output_84->dim[0] = 1;
  output_84->dim[1] = 32;
  output_84->dim[2] = 48;
  output_84->dim[3] = 80;
  output_84->dim_count = 4;
  output_84->qinfo = (struct csinn_quant_info *)(params_base + 55320);
  output_84->quant_channel = 1;
  struct csinn_diso_params *params_84 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_84->base.name = "multiply_/model.4/m/m.1/cv2/act/Mul_68";
  params_84->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_80, output_83, output_84, params_84);
  struct csinn_tensor *output_86 = csinn_alloc_tensor(sess);
  output_86->name = "output_86";
  output_86->dtype = CSINN_DTYPE_INT8;
  output_86->layout = CSINN_LAYOUT_NCHW;
  output_86->dim[0] = 1;
  output_86->dim[1] = 32;
  output_86->dim[2] = 48;
  output_86->dim[3] = 80;
  output_86->dim_count = 4;
  output_86->qinfo = (struct csinn_quant_info *)(params_base + 55344);
  output_86->quant_channel = 1;
  struct csinn_diso_params *params_86 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_86->base.name = "add_/model.4/m/m.1/Add_69";
  params_86->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_71, output_84, output_86, params_86);
  struct csinn_tensor *output_88 = csinn_alloc_tensor(sess);
  output_88->name = "output_88";
  output_88->dtype = CSINN_DTYPE_INT8;
  output_88->layout = CSINN_LAYOUT_NCHW;
  output_88->dim[0] = 1;
  output_88->dim[1] = 32;
  output_88->dim[2] = 48;
  output_88->dim[3] = 80;
  output_88->dim_count = 4;
  output_88->qinfo = (struct csinn_quant_info *)(params_base + 55368);
  output_88->quant_channel = 1;
  struct csinn_tensor *kernel_88 = csinn_alloc_tensor(sess);
  kernel_88->name = "kernel_88";
  kernel_88->data = params_base + 55416;
  kernel_88->is_const = 1;
  kernel_88->dtype = CSINN_DTYPE_INT8;
  kernel_88->layout = CSINN_LAYOUT_OIHW;
  kernel_88->dim[0] = 32;
  kernel_88->dim[1] = 64;
  kernel_88->dim[2] = 1;
  kernel_88->dim[3] = 1;
  kernel_88->dim_count = 4;
  kernel_88->qinfo = (struct csinn_quant_info *)(params_base + 55392);
  kernel_88->quant_channel = 1;
  struct csinn_tensor *bias_88 = csinn_alloc_tensor(sess);
  bias_88->name = "bias_88";
  bias_88->data = params_base + 57488;
  bias_88->is_const = 1;
  bias_88->dtype = CSINN_DTYPE_INT32;
  bias_88->layout = CSINN_LAYOUT_O;
  bias_88->dim[0] = 32;
  bias_88->dim_count = 1;
  bias_88->qinfo = (struct csinn_quant_info *)(params_base + 57464);
  bias_88->quant_channel = 1;
  struct csinn_conv2d_params *params_88 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_88->group = 1;
  params_88->stride_height = 1;
  params_88->stride_width = 1;
  params_88->dilation_height = 1;
  params_88->dilation_width = 1;
  params_88->conv_extra.kernel_tm = NULL;
  params_88->conv_extra.conv_mode = CSINN_DIRECT;
  params_88->pad_top = 0;
  params_88->pad_left = 0;
  params_88->pad_down = 0;
  params_88->pad_right = 0;
  params_88->base.name = "conv2d_/model.4/cv2/conv/Conv_PART_0_70_fuse_bias_add_/model.4/cv2/conv/Conv_71";
  params_88->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_50, output_88, kernel_88, bias_88, params_88);
  struct csinn_tensor *output_90 = csinn_alloc_tensor(sess);
  output_90->name = "output_90";
  output_90->dtype = CSINN_DTYPE_INT8;
  output_90->layout = CSINN_LAYOUT_NCHW;
  output_90->dim[0] = 1;
  output_90->dim[1] = 32;
  output_90->dim[2] = 48;
  output_90->dim[3] = 80;
  output_90->dim_count = 4;
  output_90->qinfo = (struct csinn_quant_info *)(params_base + 57616);
  output_90->quant_channel = 1;
  struct csinn_sigmoid_params *params_90 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_90->base.name = "sigmoid_/model.4/cv2/act/Sigmoid_72";
  params_90->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_88, output_90, params_90);
  struct csinn_tensor *output_91 = csinn_alloc_tensor(sess);
  output_91->name = "output_91";
  output_91->dtype = CSINN_DTYPE_INT8;
  output_91->layout = CSINN_LAYOUT_NCHW;
  output_91->dim[0] = 1;
  output_91->dim[1] = 32;
  output_91->dim[2] = 48;
  output_91->dim[3] = 80;
  output_91->dim_count = 4;
  output_91->qinfo = (struct csinn_quant_info *)(params_base + 57640);
  output_91->quant_channel = 1;
  struct csinn_relu_params *params_91 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_91->base.name = "relu_73";
  params_91->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_90, output_91, params_91);
  struct csinn_tensor *output_92 = csinn_alloc_tensor(sess);
  output_92->name = "output_92";
  output_92->dtype = CSINN_DTYPE_INT8;
  output_92->layout = CSINN_LAYOUT_NCHW;
  output_92->dim[0] = 1;
  output_92->dim[1] = 32;
  output_92->dim[2] = 48;
  output_92->dim[3] = 80;
  output_92->dim_count = 4;
  output_92->qinfo = (struct csinn_quant_info *)(params_base + 57664);
  output_92->quant_channel = 1;
  struct csinn_diso_params *params_92 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_92->base.name = "multiply_/model.4/cv2/act/Mul_74";
  params_92->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_88, output_91, output_92, params_92);
  struct csinn_tensor *input_94_concat[2];
  struct csinn_tensor *output_94 = csinn_alloc_tensor(sess);
  output_94->name = "output_94";
  output_94->dtype = CSINN_DTYPE_INT8;
  output_94->layout = CSINN_LAYOUT_NCHW;
  output_94->dim[0] = 1;
  output_94->dim[1] = 64;
  output_94->dim[2] = 48;
  output_94->dim[3] = 80;
  output_94->dim_count = 4;
  output_94->qinfo = (struct csinn_quant_info *)(params_base + 57688);
  output_94->quant_channel = 1;
  struct csinn_concat_params *params_94 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_94->inputs_count = 2;
  params_94->axis = 1;
  params_94->base.name = "concatenate_/model.4/Concat_75";
  params_94->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_94_concat, output_94, params_94);
  struct csinn_tensor *output_95 = csinn_alloc_tensor(sess);
  output_95->name = "output_95";
  output_95->dtype = CSINN_DTYPE_INT8;
  output_95->layout = CSINN_LAYOUT_NCHW;
  output_95->dim[0] = 1;
  output_95->dim[1] = 64;
  output_95->dim[2] = 48;
  output_95->dim[3] = 80;
  output_95->dim_count = 4;
  output_95->qinfo = (struct csinn_quant_info *)(params_base + 57712);
  output_95->quant_channel = 1;
  struct csinn_tensor *kernel_95 = csinn_alloc_tensor(sess);
  kernel_95->name = "kernel_95";
  kernel_95->data = params_base + 57760;
  kernel_95->is_const = 1;
  kernel_95->dtype = CSINN_DTYPE_INT8;
  kernel_95->layout = CSINN_LAYOUT_OIHW;
  kernel_95->dim[0] = 64;
  kernel_95->dim[1] = 64;
  kernel_95->dim[2] = 1;
  kernel_95->dim[3] = 1;
  kernel_95->dim_count = 4;
  kernel_95->qinfo = (struct csinn_quant_info *)(params_base + 57736);
  kernel_95->quant_channel = 1;
  struct csinn_tensor *bias_95 = csinn_alloc_tensor(sess);
  bias_95->name = "bias_95";
  bias_95->data = params_base + 61880;
  bias_95->is_const = 1;
  bias_95->dtype = CSINN_DTYPE_INT32;
  bias_95->layout = CSINN_LAYOUT_O;
  bias_95->dim[0] = 64;
  bias_95->dim_count = 1;
  bias_95->qinfo = (struct csinn_quant_info *)(params_base + 61856);
  bias_95->quant_channel = 1;
  struct csinn_conv2d_params *params_95 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_95->group = 1;
  params_95->stride_height = 1;
  params_95->stride_width = 1;
  params_95->dilation_height = 1;
  params_95->dilation_width = 1;
  params_95->conv_extra.kernel_tm = NULL;
  params_95->conv_extra.conv_mode = CSINN_DIRECT;
  params_95->pad_top = 0;
  params_95->pad_left = 0;
  params_95->pad_down = 0;
  params_95->pad_right = 0;
  params_95->base.name = "conv2d_/model.4/cv3/conv/Conv_PART_0_76_fuse_bias_add_/model.4/cv3/conv/Conv_77";
  params_95->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_94, output_95, kernel_95, bias_95, params_95);
  struct csinn_tensor *output_97 = csinn_alloc_tensor(sess);
  output_97->name = "output_97";
  output_97->dtype = CSINN_DTYPE_INT8;
  output_97->layout = CSINN_LAYOUT_NCHW;
  output_97->dim[0] = 1;
  output_97->dim[1] = 64;
  output_97->dim[2] = 48;
  output_97->dim[3] = 80;
  output_97->dim_count = 4;
  output_97->qinfo = (struct csinn_quant_info *)(params_base + 62136);
  output_97->quant_channel = 1;
  struct csinn_sigmoid_params *params_97 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_97->base.name = "sigmoid_/model.4/cv3/act/Sigmoid_78";
  params_97->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_95, output_97, params_97);
  struct csinn_tensor *output_98 = csinn_alloc_tensor(sess);
  output_98->name = "output_98";
  output_98->dtype = CSINN_DTYPE_INT8;
  output_98->layout = CSINN_LAYOUT_NCHW;
  output_98->dim[0] = 1;
  output_98->dim[1] = 64;
  output_98->dim[2] = 48;
  output_98->dim[3] = 80;
  output_98->dim_count = 4;
  output_98->qinfo = (struct csinn_quant_info *)(params_base + 62160);
  output_98->quant_channel = 1;
  struct csinn_relu_params *params_98 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_98->base.name = "relu_79";
  params_98->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_97, output_98, params_98);
  struct csinn_tensor *output_99 = csinn_alloc_tensor(sess);
  output_99->name = "output_99";
  output_99->dtype = CSINN_DTYPE_INT8;
  output_99->layout = CSINN_LAYOUT_NCHW;
  output_99->dim[0] = 1;
  output_99->dim[1] = 64;
  output_99->dim[2] = 48;
  output_99->dim[3] = 80;
  output_99->dim_count = 4;
  output_99->qinfo = (struct csinn_quant_info *)(params_base + 62184);
  output_99->quant_channel = 1;
  struct csinn_diso_params *params_99 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_99->base.name = "multiply_/model.4/cv3/act/Mul_80";
  params_99->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_95, output_98, output_99, params_99);
  struct csinn_tensor *output_101 = csinn_alloc_tensor(sess);
  output_101->name = "output_101";
  output_101->dtype = CSINN_DTYPE_INT8;
  output_101->layout = CSINN_LAYOUT_NCHW;
  output_101->dim[0] = 1;
  output_101->dim[1] = 128;
  output_101->dim[2] = 24;
  output_101->dim[3] = 40;
  output_101->dim_count = 4;
  output_101->qinfo = (struct csinn_quant_info *)(params_base + 62208);
  output_101->quant_channel = 1;
  struct csinn_tensor *kernel_101 = csinn_alloc_tensor(sess);
  kernel_101->name = "kernel_101";
  kernel_101->data = params_base + 62256;
  kernel_101->is_const = 1;
  kernel_101->dtype = CSINN_DTYPE_INT8;
  kernel_101->layout = CSINN_LAYOUT_OIHW;
  kernel_101->dim[0] = 128;
  kernel_101->dim[1] = 64;
  kernel_101->dim[2] = 3;
  kernel_101->dim[3] = 3;
  kernel_101->dim_count = 4;
  kernel_101->qinfo = (struct csinn_quant_info *)(params_base + 62232);
  kernel_101->quant_channel = 1;
  struct csinn_tensor *bias_101 = csinn_alloc_tensor(sess);
  bias_101->name = "bias_101";
  bias_101->data = params_base + 136008;
  bias_101->is_const = 1;
  bias_101->dtype = CSINN_DTYPE_INT32;
  bias_101->layout = CSINN_LAYOUT_O;
  bias_101->dim[0] = 128;
  bias_101->dim_count = 1;
  bias_101->qinfo = (struct csinn_quant_info *)(params_base + 135984);
  bias_101->quant_channel = 1;
  struct csinn_conv2d_params *params_101 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_101->group = 1;
  params_101->stride_height = 2;
  params_101->stride_width = 2;
  params_101->dilation_height = 1;
  params_101->dilation_width = 1;
  params_101->conv_extra.kernel_tm = NULL;
  params_101->conv_extra.conv_mode = CSINN_DIRECT;
  params_101->pad_top = 1;
  params_101->pad_left = 1;
  params_101->pad_down = 1;
  params_101->pad_right = 1;
  params_101->base.name = "conv2d_/model.5/conv/Conv_PART_0_81_fuse_bias_add_/model.5/conv/Conv_82";
  params_101->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_99, output_101, kernel_101, bias_101, params_101);
  struct csinn_tensor *output_103 = csinn_alloc_tensor(sess);
  output_103->name = "output_103";
  output_103->dtype = CSINN_DTYPE_INT8;
  output_103->layout = CSINN_LAYOUT_NCHW;
  output_103->dim[0] = 1;
  output_103->dim[1] = 128;
  output_103->dim[2] = 24;
  output_103->dim[3] = 40;
  output_103->dim_count = 4;
  output_103->qinfo = (struct csinn_quant_info *)(params_base + 136520);
  output_103->quant_channel = 1;
  struct csinn_sigmoid_params *params_103 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_103->base.name = "sigmoid_/model.5/act/Sigmoid_83";
  params_103->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_101, output_103, params_103);
  struct csinn_tensor *output_104 = csinn_alloc_tensor(sess);
  output_104->name = "output_104";
  output_104->dtype = CSINN_DTYPE_INT8;
  output_104->layout = CSINN_LAYOUT_NCHW;
  output_104->dim[0] = 1;
  output_104->dim[1] = 128;
  output_104->dim[2] = 24;
  output_104->dim[3] = 40;
  output_104->dim_count = 4;
  output_104->qinfo = (struct csinn_quant_info *)(params_base + 136544);
  output_104->quant_channel = 1;
  struct csinn_relu_params *params_104 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_104->base.name = "relu_84";
  params_104->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_103, output_104, params_104);
  struct csinn_tensor *output_105 = csinn_alloc_tensor(sess);
  output_105->name = "output_105";
  output_105->dtype = CSINN_DTYPE_INT8;
  output_105->layout = CSINN_LAYOUT_NCHW;
  output_105->dim[0] = 1;
  output_105->dim[1] = 128;
  output_105->dim[2] = 24;
  output_105->dim[3] = 40;
  output_105->dim_count = 4;
  output_105->qinfo = (struct csinn_quant_info *)(params_base + 136568);
  output_105->quant_channel = 1;
  struct csinn_diso_params *params_105 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_105->base.name = "multiply_/model.5/act/Mul_85";
  params_105->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_101, output_104, output_105, params_105);
  struct csinn_tensor *output_107 = csinn_alloc_tensor(sess);
  output_107->name = "output_107";
  output_107->dtype = CSINN_DTYPE_INT8;
  output_107->layout = CSINN_LAYOUT_NCHW;
  output_107->dim[0] = 1;
  output_107->dim[1] = 64;
  output_107->dim[2] = 24;
  output_107->dim[3] = 40;
  output_107->dim_count = 4;
  output_107->qinfo = (struct csinn_quant_info *)(params_base + 136592);
  output_107->quant_channel = 1;
  struct csinn_tensor *kernel_107 = csinn_alloc_tensor(sess);
  kernel_107->name = "kernel_107";
  kernel_107->data = params_base + 136640;
  kernel_107->is_const = 1;
  kernel_107->dtype = CSINN_DTYPE_INT8;
  kernel_107->layout = CSINN_LAYOUT_OIHW;
  kernel_107->dim[0] = 64;
  kernel_107->dim[1] = 128;
  kernel_107->dim[2] = 1;
  kernel_107->dim[3] = 1;
  kernel_107->dim_count = 4;
  kernel_107->qinfo = (struct csinn_quant_info *)(params_base + 136616);
  kernel_107->quant_channel = 1;
  struct csinn_tensor *bias_107 = csinn_alloc_tensor(sess);
  bias_107->name = "bias_107";
  bias_107->data = params_base + 144856;
  bias_107->is_const = 1;
  bias_107->dtype = CSINN_DTYPE_INT32;
  bias_107->layout = CSINN_LAYOUT_O;
  bias_107->dim[0] = 64;
  bias_107->dim_count = 1;
  bias_107->qinfo = (struct csinn_quant_info *)(params_base + 144832);
  bias_107->quant_channel = 1;
  struct csinn_conv2d_params *params_107 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_107->group = 1;
  params_107->stride_height = 1;
  params_107->stride_width = 1;
  params_107->dilation_height = 1;
  params_107->dilation_width = 1;
  params_107->conv_extra.kernel_tm = NULL;
  params_107->conv_extra.conv_mode = CSINN_DIRECT;
  params_107->pad_top = 0;
  params_107->pad_left = 0;
  params_107->pad_down = 0;
  params_107->pad_right = 0;
  params_107->base.name = "conv2d_/model.6/cv1/conv/Conv_PART_0_86_fuse_bias_add_/model.6/cv1/conv/Conv_87";
  params_107->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_105, output_107, kernel_107, bias_107, params_107);
  struct csinn_tensor *output_109 = csinn_alloc_tensor(sess);
  output_109->name = "output_109";
  output_109->dtype = CSINN_DTYPE_INT8;
  output_109->layout = CSINN_LAYOUT_NCHW;
  output_109->dim[0] = 1;
  output_109->dim[1] = 64;
  output_109->dim[2] = 24;
  output_109->dim[3] = 40;
  output_109->dim_count = 4;
  output_109->qinfo = (struct csinn_quant_info *)(params_base + 145112);
  output_109->quant_channel = 1;
  struct csinn_sigmoid_params *params_109 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_109->base.name = "sigmoid_/model.6/cv1/act/Sigmoid_88";
  params_109->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_107, output_109, params_109);
  struct csinn_tensor *output_110 = csinn_alloc_tensor(sess);
  output_110->name = "output_110";
  output_110->dtype = CSINN_DTYPE_INT8;
  output_110->layout = CSINN_LAYOUT_NCHW;
  output_110->dim[0] = 1;
  output_110->dim[1] = 64;
  output_110->dim[2] = 24;
  output_110->dim[3] = 40;
  output_110->dim_count = 4;
  output_110->qinfo = (struct csinn_quant_info *)(params_base + 145136);
  output_110->quant_channel = 1;
  struct csinn_relu_params *params_110 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_110->base.name = "relu_89";
  params_110->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_109, output_110, params_110);
  struct csinn_tensor *output_111 = csinn_alloc_tensor(sess);
  output_111->name = "output_111";
  output_111->dtype = CSINN_DTYPE_INT8;
  output_111->layout = CSINN_LAYOUT_NCHW;
  output_111->dim[0] = 1;
  output_111->dim[1] = 64;
  output_111->dim[2] = 24;
  output_111->dim[3] = 40;
  output_111->dim_count = 4;
  output_111->qinfo = (struct csinn_quant_info *)(params_base + 145160);
  output_111->quant_channel = 1;
  struct csinn_diso_params *params_111 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_111->base.name = "multiply_/model.6/cv1/act/Mul_90";
  params_111->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_107, output_110, output_111, params_111);
  struct csinn_tensor *output_114 = csinn_alloc_tensor(sess);
  output_114->name = "output_114";
  output_114->dtype = CSINN_DTYPE_INT8;
  output_114->layout = CSINN_LAYOUT_NCHW;
  output_114->dim[0] = 1;
  output_114->dim[1] = 64;
  output_114->dim[2] = 24;
  output_114->dim[3] = 40;
  output_114->dim_count = 4;
  output_114->qinfo = (struct csinn_quant_info *)(params_base + 145184);
  output_114->quant_channel = 1;
  struct csinn_tensor *kernel_114 = csinn_alloc_tensor(sess);
  kernel_114->name = "kernel_114";
  kernel_114->data = params_base + 145232;
  kernel_114->is_const = 1;
  kernel_114->dtype = CSINN_DTYPE_INT8;
  kernel_114->layout = CSINN_LAYOUT_OIHW;
  kernel_114->dim[0] = 64;
  kernel_114->dim[1] = 64;
  kernel_114->dim[2] = 1;
  kernel_114->dim[3] = 1;
  kernel_114->dim_count = 4;
  kernel_114->qinfo = (struct csinn_quant_info *)(params_base + 145208);
  kernel_114->quant_channel = 1;
  struct csinn_tensor *bias_114 = csinn_alloc_tensor(sess);
  bias_114->name = "bias_114";
  bias_114->data = params_base + 149352;
  bias_114->is_const = 1;
  bias_114->dtype = CSINN_DTYPE_INT32;
  bias_114->layout = CSINN_LAYOUT_O;
  bias_114->dim[0] = 64;
  bias_114->dim_count = 1;
  bias_114->qinfo = (struct csinn_quant_info *)(params_base + 149328);
  bias_114->quant_channel = 1;
  struct csinn_conv2d_params *params_114 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_114->group = 1;
  params_114->stride_height = 1;
  params_114->stride_width = 1;
  params_114->dilation_height = 1;
  params_114->dilation_width = 1;
  params_114->conv_extra.kernel_tm = NULL;
  params_114->conv_extra.conv_mode = CSINN_DIRECT;
  params_114->pad_top = 0;
  params_114->pad_left = 0;
  params_114->pad_down = 0;
  params_114->pad_right = 0;
  params_114->base.name = "conv2d_/model.6/m/m.0/cv1/conv/Conv_PART_0_91_fuse_bias_add_/model.6/m/m.0/cv1/conv/Conv_92";
  params_114->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_111, output_114, kernel_114, bias_114, params_114);
  struct csinn_tensor *output_116 = csinn_alloc_tensor(sess);
  output_116->name = "output_116";
  output_116->dtype = CSINN_DTYPE_INT8;
  output_116->layout = CSINN_LAYOUT_NCHW;
  output_116->dim[0] = 1;
  output_116->dim[1] = 64;
  output_116->dim[2] = 24;
  output_116->dim[3] = 40;
  output_116->dim_count = 4;
  output_116->qinfo = (struct csinn_quant_info *)(params_base + 149608);
  output_116->quant_channel = 1;
  struct csinn_sigmoid_params *params_116 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_116->base.name = "sigmoid_/model.6/m/m.0/cv1/act/Sigmoid_93";
  params_116->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_114, output_116, params_116);
  struct csinn_tensor *output_117 = csinn_alloc_tensor(sess);
  output_117->name = "output_117";
  output_117->dtype = CSINN_DTYPE_INT8;
  output_117->layout = CSINN_LAYOUT_NCHW;
  output_117->dim[0] = 1;
  output_117->dim[1] = 64;
  output_117->dim[2] = 24;
  output_117->dim[3] = 40;
  output_117->dim_count = 4;
  output_117->qinfo = (struct csinn_quant_info *)(params_base + 149632);
  output_117->quant_channel = 1;
  struct csinn_relu_params *params_117 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_117->base.name = "relu_94";
  params_117->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_116, output_117, params_117);
  struct csinn_tensor *output_118 = csinn_alloc_tensor(sess);
  output_118->name = "output_118";
  output_118->dtype = CSINN_DTYPE_INT8;
  output_118->layout = CSINN_LAYOUT_NCHW;
  output_118->dim[0] = 1;
  output_118->dim[1] = 64;
  output_118->dim[2] = 24;
  output_118->dim[3] = 40;
  output_118->dim_count = 4;
  output_118->qinfo = (struct csinn_quant_info *)(params_base + 149656);
  output_118->quant_channel = 1;
  struct csinn_diso_params *params_118 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_118->base.name = "multiply_/model.6/m/m.0/cv1/act/Mul_95";
  params_118->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_114, output_117, output_118, params_118);
  struct csinn_tensor *output_120 = csinn_alloc_tensor(sess);
  output_120->name = "output_120";
  output_120->dtype = CSINN_DTYPE_INT8;
  output_120->layout = CSINN_LAYOUT_NCHW;
  output_120->dim[0] = 1;
  output_120->dim[1] = 64;
  output_120->dim[2] = 24;
  output_120->dim[3] = 40;
  output_120->dim_count = 4;
  output_120->qinfo = (struct csinn_quant_info *)(params_base + 149680);
  output_120->quant_channel = 1;
  struct csinn_tensor *kernel_120 = csinn_alloc_tensor(sess);
  kernel_120->name = "kernel_120";
  kernel_120->data = params_base + 149728;
  kernel_120->is_const = 1;
  kernel_120->dtype = CSINN_DTYPE_INT8;
  kernel_120->layout = CSINN_LAYOUT_OIHW;
  kernel_120->dim[0] = 64;
  kernel_120->dim[1] = 64;
  kernel_120->dim[2] = 3;
  kernel_120->dim[3] = 3;
  kernel_120->dim_count = 4;
  kernel_120->qinfo = (struct csinn_quant_info *)(params_base + 149704);
  kernel_120->quant_channel = 1;
  struct csinn_tensor *bias_120 = csinn_alloc_tensor(sess);
  bias_120->name = "bias_120";
  bias_120->data = params_base + 186616;
  bias_120->is_const = 1;
  bias_120->dtype = CSINN_DTYPE_INT32;
  bias_120->layout = CSINN_LAYOUT_O;
  bias_120->dim[0] = 64;
  bias_120->dim_count = 1;
  bias_120->qinfo = (struct csinn_quant_info *)(params_base + 186592);
  bias_120->quant_channel = 1;
  struct csinn_conv2d_params *params_120 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_120->group = 1;
  params_120->stride_height = 1;
  params_120->stride_width = 1;
  params_120->dilation_height = 1;
  params_120->dilation_width = 1;
  params_120->conv_extra.kernel_tm = NULL;
  params_120->conv_extra.conv_mode = CSINN_DIRECT;
  params_120->pad_top = 1;
  params_120->pad_left = 1;
  params_120->pad_down = 1;
  params_120->pad_right = 1;
  params_120->base.name = "conv2d_/model.6/m/m.0/cv2/conv/Conv_PART_0_96_fuse_bias_add_/model.6/m/m.0/cv2/conv/Conv_97";
  params_120->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_118, output_120, kernel_120, bias_120, params_120);
  struct csinn_tensor *output_122 = csinn_alloc_tensor(sess);
  output_122->name = "output_122";
  output_122->dtype = CSINN_DTYPE_INT8;
  output_122->layout = CSINN_LAYOUT_NCHW;
  output_122->dim[0] = 1;
  output_122->dim[1] = 64;
  output_122->dim[2] = 24;
  output_122->dim[3] = 40;
  output_122->dim_count = 4;
  output_122->qinfo = (struct csinn_quant_info *)(params_base + 186872);
  output_122->quant_channel = 1;
  struct csinn_sigmoid_params *params_122 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_122->base.name = "sigmoid_/model.6/m/m.0/cv2/act/Sigmoid_98";
  params_122->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_120, output_122, params_122);
  struct csinn_tensor *output_123 = csinn_alloc_tensor(sess);
  output_123->name = "output_123";
  output_123->dtype = CSINN_DTYPE_INT8;
  output_123->layout = CSINN_LAYOUT_NCHW;
  output_123->dim[0] = 1;
  output_123->dim[1] = 64;
  output_123->dim[2] = 24;
  output_123->dim[3] = 40;
  output_123->dim_count = 4;
  output_123->qinfo = (struct csinn_quant_info *)(params_base + 186896);
  output_123->quant_channel = 1;
  struct csinn_relu_params *params_123 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_123->base.name = "relu_99";
  params_123->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_122, output_123, params_123);
  struct csinn_tensor *output_124 = csinn_alloc_tensor(sess);
  output_124->name = "output_124";
  output_124->dtype = CSINN_DTYPE_INT8;
  output_124->layout = CSINN_LAYOUT_NCHW;
  output_124->dim[0] = 1;
  output_124->dim[1] = 64;
  output_124->dim[2] = 24;
  output_124->dim[3] = 40;
  output_124->dim_count = 4;
  output_124->qinfo = (struct csinn_quant_info *)(params_base + 186920);
  output_124->quant_channel = 1;
  struct csinn_diso_params *params_124 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_124->base.name = "multiply_/model.6/m/m.0/cv2/act/Mul_100";
  params_124->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_120, output_123, output_124, params_124);
  struct csinn_tensor *output_126 = csinn_alloc_tensor(sess);
  output_126->name = "output_126";
  output_126->dtype = CSINN_DTYPE_INT8;
  output_126->layout = CSINN_LAYOUT_NCHW;
  output_126->dim[0] = 1;
  output_126->dim[1] = 64;
  output_126->dim[2] = 24;
  output_126->dim[3] = 40;
  output_126->dim_count = 4;
  output_126->qinfo = (struct csinn_quant_info *)(params_base + 186944);
  output_126->quant_channel = 1;
  struct csinn_diso_params *params_126 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_126->base.name = "add_/model.6/m/m.0/Add_101";
  params_126->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_111, output_124, output_126, params_126);
  struct csinn_tensor *output_129 = csinn_alloc_tensor(sess);
  output_129->name = "output_129";
  output_129->dtype = CSINN_DTYPE_INT8;
  output_129->layout = CSINN_LAYOUT_NCHW;
  output_129->dim[0] = 1;
  output_129->dim[1] = 64;
  output_129->dim[2] = 24;
  output_129->dim[3] = 40;
  output_129->dim_count = 4;
  output_129->qinfo = (struct csinn_quant_info *)(params_base + 186968);
  output_129->quant_channel = 1;
  struct csinn_tensor *kernel_129 = csinn_alloc_tensor(sess);
  kernel_129->name = "kernel_129";
  kernel_129->data = params_base + 187016;
  kernel_129->is_const = 1;
  kernel_129->dtype = CSINN_DTYPE_INT8;
  kernel_129->layout = CSINN_LAYOUT_OIHW;
  kernel_129->dim[0] = 64;
  kernel_129->dim[1] = 64;
  kernel_129->dim[2] = 1;
  kernel_129->dim[3] = 1;
  kernel_129->dim_count = 4;
  kernel_129->qinfo = (struct csinn_quant_info *)(params_base + 186992);
  kernel_129->quant_channel = 1;
  struct csinn_tensor *bias_129 = csinn_alloc_tensor(sess);
  bias_129->name = "bias_129";
  bias_129->data = params_base + 191136;
  bias_129->is_const = 1;
  bias_129->dtype = CSINN_DTYPE_INT32;
  bias_129->layout = CSINN_LAYOUT_O;
  bias_129->dim[0] = 64;
  bias_129->dim_count = 1;
  bias_129->qinfo = (struct csinn_quant_info *)(params_base + 191112);
  bias_129->quant_channel = 1;
  struct csinn_conv2d_params *params_129 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_129->group = 1;
  params_129->stride_height = 1;
  params_129->stride_width = 1;
  params_129->dilation_height = 1;
  params_129->dilation_width = 1;
  params_129->conv_extra.kernel_tm = NULL;
  params_129->conv_extra.conv_mode = CSINN_DIRECT;
  params_129->pad_top = 0;
  params_129->pad_left = 0;
  params_129->pad_down = 0;
  params_129->pad_right = 0;
  params_129->base.name = "conv2d_/model.6/m/m.1/cv1/conv/Conv_PART_0_102_fuse_bias_add_/model.6/m/m.1/cv1/conv/Conv_103";
  params_129->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_126, output_129, kernel_129, bias_129, params_129);
  struct csinn_tensor *output_131 = csinn_alloc_tensor(sess);
  output_131->name = "output_131";
  output_131->dtype = CSINN_DTYPE_INT8;
  output_131->layout = CSINN_LAYOUT_NCHW;
  output_131->dim[0] = 1;
  output_131->dim[1] = 64;
  output_131->dim[2] = 24;
  output_131->dim[3] = 40;
  output_131->dim_count = 4;
  output_131->qinfo = (struct csinn_quant_info *)(params_base + 191392);
  output_131->quant_channel = 1;
  struct csinn_sigmoid_params *params_131 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_131->base.name = "sigmoid_/model.6/m/m.1/cv1/act/Sigmoid_104";
  params_131->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_129, output_131, params_131);
  struct csinn_tensor *output_132 = csinn_alloc_tensor(sess);
  output_132->name = "output_132";
  output_132->dtype = CSINN_DTYPE_INT8;
  output_132->layout = CSINN_LAYOUT_NCHW;
  output_132->dim[0] = 1;
  output_132->dim[1] = 64;
  output_132->dim[2] = 24;
  output_132->dim[3] = 40;
  output_132->dim_count = 4;
  output_132->qinfo = (struct csinn_quant_info *)(params_base + 191416);
  output_132->quant_channel = 1;
  struct csinn_relu_params *params_132 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_132->base.name = "relu_105";
  params_132->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_131, output_132, params_132);
  struct csinn_tensor *output_133 = csinn_alloc_tensor(sess);
  output_133->name = "output_133";
  output_133->dtype = CSINN_DTYPE_INT8;
  output_133->layout = CSINN_LAYOUT_NCHW;
  output_133->dim[0] = 1;
  output_133->dim[1] = 64;
  output_133->dim[2] = 24;
  output_133->dim[3] = 40;
  output_133->dim_count = 4;
  output_133->qinfo = (struct csinn_quant_info *)(params_base + 191440);
  output_133->quant_channel = 1;
  struct csinn_diso_params *params_133 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_133->base.name = "multiply_/model.6/m/m.1/cv1/act/Mul_106";
  params_133->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_129, output_132, output_133, params_133);
  struct csinn_tensor *output_135 = csinn_alloc_tensor(sess);
  output_135->name = "output_135";
  output_135->dtype = CSINN_DTYPE_INT8;
  output_135->layout = CSINN_LAYOUT_NCHW;
  output_135->dim[0] = 1;
  output_135->dim[1] = 64;
  output_135->dim[2] = 24;
  output_135->dim[3] = 40;
  output_135->dim_count = 4;
  output_135->qinfo = (struct csinn_quant_info *)(params_base + 191464);
  output_135->quant_channel = 1;
  struct csinn_tensor *kernel_135 = csinn_alloc_tensor(sess);
  kernel_135->name = "kernel_135";
  kernel_135->data = params_base + 191512;
  kernel_135->is_const = 1;
  kernel_135->dtype = CSINN_DTYPE_INT8;
  kernel_135->layout = CSINN_LAYOUT_OIHW;
  kernel_135->dim[0] = 64;
  kernel_135->dim[1] = 64;
  kernel_135->dim[2] = 3;
  kernel_135->dim[3] = 3;
  kernel_135->dim_count = 4;
  kernel_135->qinfo = (struct csinn_quant_info *)(params_base + 191488);
  kernel_135->quant_channel = 1;
  struct csinn_tensor *bias_135 = csinn_alloc_tensor(sess);
  bias_135->name = "bias_135";
  bias_135->data = params_base + 228400;
  bias_135->is_const = 1;
  bias_135->dtype = CSINN_DTYPE_INT32;
  bias_135->layout = CSINN_LAYOUT_O;
  bias_135->dim[0] = 64;
  bias_135->dim_count = 1;
  bias_135->qinfo = (struct csinn_quant_info *)(params_base + 228376);
  bias_135->quant_channel = 1;
  struct csinn_conv2d_params *params_135 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_135->group = 1;
  params_135->stride_height = 1;
  params_135->stride_width = 1;
  params_135->dilation_height = 1;
  params_135->dilation_width = 1;
  params_135->conv_extra.kernel_tm = NULL;
  params_135->conv_extra.conv_mode = CSINN_DIRECT;
  params_135->pad_top = 1;
  params_135->pad_left = 1;
  params_135->pad_down = 1;
  params_135->pad_right = 1;
  params_135->base.name = "conv2d_/model.6/m/m.1/cv2/conv/Conv_PART_0_107_fuse_bias_add_/model.6/m/m.1/cv2/conv/Conv_108";
  params_135->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_133, output_135, kernel_135, bias_135, params_135);
  struct csinn_tensor *output_137 = csinn_alloc_tensor(sess);
  output_137->name = "output_137";
  output_137->dtype = CSINN_DTYPE_INT8;
  output_137->layout = CSINN_LAYOUT_NCHW;
  output_137->dim[0] = 1;
  output_137->dim[1] = 64;
  output_137->dim[2] = 24;
  output_137->dim[3] = 40;
  output_137->dim_count = 4;
  output_137->qinfo = (struct csinn_quant_info *)(params_base + 228656);
  output_137->quant_channel = 1;
  struct csinn_sigmoid_params *params_137 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_137->base.name = "sigmoid_/model.6/m/m.1/cv2/act/Sigmoid_109";
  params_137->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_135, output_137, params_137);
  struct csinn_tensor *output_138 = csinn_alloc_tensor(sess);
  output_138->name = "output_138";
  output_138->dtype = CSINN_DTYPE_INT8;
  output_138->layout = CSINN_LAYOUT_NCHW;
  output_138->dim[0] = 1;
  output_138->dim[1] = 64;
  output_138->dim[2] = 24;
  output_138->dim[3] = 40;
  output_138->dim_count = 4;
  output_138->qinfo = (struct csinn_quant_info *)(params_base + 228680);
  output_138->quant_channel = 1;
  struct csinn_relu_params *params_138 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_138->base.name = "relu_110";
  params_138->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_137, output_138, params_138);
  struct csinn_tensor *output_139 = csinn_alloc_tensor(sess);
  output_139->name = "output_139";
  output_139->dtype = CSINN_DTYPE_INT8;
  output_139->layout = CSINN_LAYOUT_NCHW;
  output_139->dim[0] = 1;
  output_139->dim[1] = 64;
  output_139->dim[2] = 24;
  output_139->dim[3] = 40;
  output_139->dim_count = 4;
  output_139->qinfo = (struct csinn_quant_info *)(params_base + 228704);
  output_139->quant_channel = 1;
  struct csinn_diso_params *params_139 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_139->base.name = "multiply_/model.6/m/m.1/cv2/act/Mul_111";
  params_139->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_135, output_138, output_139, params_139);
  struct csinn_tensor *output_141 = csinn_alloc_tensor(sess);
  output_141->name = "output_141";
  output_141->dtype = CSINN_DTYPE_INT8;
  output_141->layout = CSINN_LAYOUT_NCHW;
  output_141->dim[0] = 1;
  output_141->dim[1] = 64;
  output_141->dim[2] = 24;
  output_141->dim[3] = 40;
  output_141->dim_count = 4;
  output_141->qinfo = (struct csinn_quant_info *)(params_base + 228728);
  output_141->quant_channel = 1;
  struct csinn_diso_params *params_141 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_141->base.name = "add_/model.6/m/m.1/Add_112";
  params_141->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_126, output_139, output_141, params_141);
  struct csinn_tensor *output_144 = csinn_alloc_tensor(sess);
  output_144->name = "output_144";
  output_144->dtype = CSINN_DTYPE_INT8;
  output_144->layout = CSINN_LAYOUT_NCHW;
  output_144->dim[0] = 1;
  output_144->dim[1] = 64;
  output_144->dim[2] = 24;
  output_144->dim[3] = 40;
  output_144->dim_count = 4;
  output_144->qinfo = (struct csinn_quant_info *)(params_base + 228752);
  output_144->quant_channel = 1;
  struct csinn_tensor *kernel_144 = csinn_alloc_tensor(sess);
  kernel_144->name = "kernel_144";
  kernel_144->data = params_base + 228800;
  kernel_144->is_const = 1;
  kernel_144->dtype = CSINN_DTYPE_INT8;
  kernel_144->layout = CSINN_LAYOUT_OIHW;
  kernel_144->dim[0] = 64;
  kernel_144->dim[1] = 64;
  kernel_144->dim[2] = 1;
  kernel_144->dim[3] = 1;
  kernel_144->dim_count = 4;
  kernel_144->qinfo = (struct csinn_quant_info *)(params_base + 228776);
  kernel_144->quant_channel = 1;
  struct csinn_tensor *bias_144 = csinn_alloc_tensor(sess);
  bias_144->name = "bias_144";
  bias_144->data = params_base + 232920;
  bias_144->is_const = 1;
  bias_144->dtype = CSINN_DTYPE_INT32;
  bias_144->layout = CSINN_LAYOUT_O;
  bias_144->dim[0] = 64;
  bias_144->dim_count = 1;
  bias_144->qinfo = (struct csinn_quant_info *)(params_base + 232896);
  bias_144->quant_channel = 1;
  struct csinn_conv2d_params *params_144 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_144->group = 1;
  params_144->stride_height = 1;
  params_144->stride_width = 1;
  params_144->dilation_height = 1;
  params_144->dilation_width = 1;
  params_144->conv_extra.kernel_tm = NULL;
  params_144->conv_extra.conv_mode = CSINN_DIRECT;
  params_144->pad_top = 0;
  params_144->pad_left = 0;
  params_144->pad_down = 0;
  params_144->pad_right = 0;
  params_144->base.name = "conv2d_/model.6/m/m.2/cv1/conv/Conv_PART_0_113_fuse_bias_add_/model.6/m/m.2/cv1/conv/Conv_114";
  params_144->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_141, output_144, kernel_144, bias_144, params_144);
  struct csinn_tensor *output_146 = csinn_alloc_tensor(sess);
  output_146->name = "output_146";
  output_146->dtype = CSINN_DTYPE_INT8;
  output_146->layout = CSINN_LAYOUT_NCHW;
  output_146->dim[0] = 1;
  output_146->dim[1] = 64;
  output_146->dim[2] = 24;
  output_146->dim[3] = 40;
  output_146->dim_count = 4;
  output_146->qinfo = (struct csinn_quant_info *)(params_base + 233176);
  output_146->quant_channel = 1;
  struct csinn_sigmoid_params *params_146 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_146->base.name = "sigmoid_/model.6/m/m.2/cv1/act/Sigmoid_115";
  params_146->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_144, output_146, params_146);
  struct csinn_tensor *output_147 = csinn_alloc_tensor(sess);
  output_147->name = "output_147";
  output_147->dtype = CSINN_DTYPE_INT8;
  output_147->layout = CSINN_LAYOUT_NCHW;
  output_147->dim[0] = 1;
  output_147->dim[1] = 64;
  output_147->dim[2] = 24;
  output_147->dim[3] = 40;
  output_147->dim_count = 4;
  output_147->qinfo = (struct csinn_quant_info *)(params_base + 233200);
  output_147->quant_channel = 1;
  struct csinn_relu_params *params_147 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_147->base.name = "relu_116";
  params_147->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_146, output_147, params_147);
  struct csinn_tensor *output_148 = csinn_alloc_tensor(sess);
  output_148->name = "output_148";
  output_148->dtype = CSINN_DTYPE_INT8;
  output_148->layout = CSINN_LAYOUT_NCHW;
  output_148->dim[0] = 1;
  output_148->dim[1] = 64;
  output_148->dim[2] = 24;
  output_148->dim[3] = 40;
  output_148->dim_count = 4;
  output_148->qinfo = (struct csinn_quant_info *)(params_base + 233224);
  output_148->quant_channel = 1;
  struct csinn_diso_params *params_148 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_148->base.name = "multiply_/model.6/m/m.2/cv1/act/Mul_117";
  params_148->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_144, output_147, output_148, params_148);
  struct csinn_tensor *output_150 = csinn_alloc_tensor(sess);
  output_150->name = "output_150";
  output_150->dtype = CSINN_DTYPE_INT8;
  output_150->layout = CSINN_LAYOUT_NCHW;
  output_150->dim[0] = 1;
  output_150->dim[1] = 64;
  output_150->dim[2] = 24;
  output_150->dim[3] = 40;
  output_150->dim_count = 4;
  output_150->qinfo = (struct csinn_quant_info *)(params_base + 233248);
  output_150->quant_channel = 1;
  struct csinn_tensor *kernel_150 = csinn_alloc_tensor(sess);
  kernel_150->name = "kernel_150";
  kernel_150->data = params_base + 233296;
  kernel_150->is_const = 1;
  kernel_150->dtype = CSINN_DTYPE_INT8;
  kernel_150->layout = CSINN_LAYOUT_OIHW;
  kernel_150->dim[0] = 64;
  kernel_150->dim[1] = 64;
  kernel_150->dim[2] = 3;
  kernel_150->dim[3] = 3;
  kernel_150->dim_count = 4;
  kernel_150->qinfo = (struct csinn_quant_info *)(params_base + 233272);
  kernel_150->quant_channel = 1;
  struct csinn_tensor *bias_150 = csinn_alloc_tensor(sess);
  bias_150->name = "bias_150";
  bias_150->data = params_base + 270184;
  bias_150->is_const = 1;
  bias_150->dtype = CSINN_DTYPE_INT32;
  bias_150->layout = CSINN_LAYOUT_O;
  bias_150->dim[0] = 64;
  bias_150->dim_count = 1;
  bias_150->qinfo = (struct csinn_quant_info *)(params_base + 270160);
  bias_150->quant_channel = 1;
  struct csinn_conv2d_params *params_150 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_150->group = 1;
  params_150->stride_height = 1;
  params_150->stride_width = 1;
  params_150->dilation_height = 1;
  params_150->dilation_width = 1;
  params_150->conv_extra.kernel_tm = NULL;
  params_150->conv_extra.conv_mode = CSINN_DIRECT;
  params_150->pad_top = 1;
  params_150->pad_left = 1;
  params_150->pad_down = 1;
  params_150->pad_right = 1;
  params_150->base.name = "conv2d_/model.6/m/m.2/cv2/conv/Conv_PART_0_118_fuse_bias_add_/model.6/m/m.2/cv2/conv/Conv_119";
  params_150->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_148, output_150, kernel_150, bias_150, params_150);
  struct csinn_tensor *output_152 = csinn_alloc_tensor(sess);
  output_152->name = "output_152";
  output_152->dtype = CSINN_DTYPE_INT8;
  output_152->layout = CSINN_LAYOUT_NCHW;
  output_152->dim[0] = 1;
  output_152->dim[1] = 64;
  output_152->dim[2] = 24;
  output_152->dim[3] = 40;
  output_152->dim_count = 4;
  output_152->qinfo = (struct csinn_quant_info *)(params_base + 270440);
  output_152->quant_channel = 1;
  struct csinn_sigmoid_params *params_152 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_152->base.name = "sigmoid_/model.6/m/m.2/cv2/act/Sigmoid_120";
  params_152->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_150, output_152, params_152);
  struct csinn_tensor *output_153 = csinn_alloc_tensor(sess);
  output_153->name = "output_153";
  output_153->dtype = CSINN_DTYPE_INT8;
  output_153->layout = CSINN_LAYOUT_NCHW;
  output_153->dim[0] = 1;
  output_153->dim[1] = 64;
  output_153->dim[2] = 24;
  output_153->dim[3] = 40;
  output_153->dim_count = 4;
  output_153->qinfo = (struct csinn_quant_info *)(params_base + 270464);
  output_153->quant_channel = 1;
  struct csinn_relu_params *params_153 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_153->base.name = "relu_121";
  params_153->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_152, output_153, params_153);
  struct csinn_tensor *output_154 = csinn_alloc_tensor(sess);
  output_154->name = "output_154";
  output_154->dtype = CSINN_DTYPE_INT8;
  output_154->layout = CSINN_LAYOUT_NCHW;
  output_154->dim[0] = 1;
  output_154->dim[1] = 64;
  output_154->dim[2] = 24;
  output_154->dim[3] = 40;
  output_154->dim_count = 4;
  output_154->qinfo = (struct csinn_quant_info *)(params_base + 270488);
  output_154->quant_channel = 1;
  struct csinn_diso_params *params_154 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_154->base.name = "multiply_/model.6/m/m.2/cv2/act/Mul_122";
  params_154->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_150, output_153, output_154, params_154);
  struct csinn_tensor *output_156 = csinn_alloc_tensor(sess);
  output_156->name = "output_156";
  output_156->dtype = CSINN_DTYPE_INT8;
  output_156->layout = CSINN_LAYOUT_NCHW;
  output_156->dim[0] = 1;
  output_156->dim[1] = 64;
  output_156->dim[2] = 24;
  output_156->dim[3] = 40;
  output_156->dim_count = 4;
  output_156->qinfo = (struct csinn_quant_info *)(params_base + 270512);
  output_156->quant_channel = 1;
  struct csinn_diso_params *params_156 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_156->base.name = "add_/model.6/m/m.2/Add_123";
  params_156->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_141, output_154, output_156, params_156);
  struct csinn_tensor *output_158 = csinn_alloc_tensor(sess);
  output_158->name = "output_158";
  output_158->dtype = CSINN_DTYPE_INT8;
  output_158->layout = CSINN_LAYOUT_NCHW;
  output_158->dim[0] = 1;
  output_158->dim[1] = 64;
  output_158->dim[2] = 24;
  output_158->dim[3] = 40;
  output_158->dim_count = 4;
  output_158->qinfo = (struct csinn_quant_info *)(params_base + 270536);
  output_158->quant_channel = 1;
  struct csinn_tensor *kernel_158 = csinn_alloc_tensor(sess);
  kernel_158->name = "kernel_158";
  kernel_158->data = params_base + 270584;
  kernel_158->is_const = 1;
  kernel_158->dtype = CSINN_DTYPE_INT8;
  kernel_158->layout = CSINN_LAYOUT_OIHW;
  kernel_158->dim[0] = 64;
  kernel_158->dim[1] = 128;
  kernel_158->dim[2] = 1;
  kernel_158->dim[3] = 1;
  kernel_158->dim_count = 4;
  kernel_158->qinfo = (struct csinn_quant_info *)(params_base + 270560);
  kernel_158->quant_channel = 1;
  struct csinn_tensor *bias_158 = csinn_alloc_tensor(sess);
  bias_158->name = "bias_158";
  bias_158->data = params_base + 278800;
  bias_158->is_const = 1;
  bias_158->dtype = CSINN_DTYPE_INT32;
  bias_158->layout = CSINN_LAYOUT_O;
  bias_158->dim[0] = 64;
  bias_158->dim_count = 1;
  bias_158->qinfo = (struct csinn_quant_info *)(params_base + 278776);
  bias_158->quant_channel = 1;
  struct csinn_conv2d_params *params_158 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_158->group = 1;
  params_158->stride_height = 1;
  params_158->stride_width = 1;
  params_158->dilation_height = 1;
  params_158->dilation_width = 1;
  params_158->conv_extra.kernel_tm = NULL;
  params_158->conv_extra.conv_mode = CSINN_DIRECT;
  params_158->pad_top = 0;
  params_158->pad_left = 0;
  params_158->pad_down = 0;
  params_158->pad_right = 0;
  params_158->base.name = "conv2d_/model.6/cv2/conv/Conv_PART_0_124_fuse_bias_add_/model.6/cv2/conv/Conv_125";
  params_158->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_105, output_158, kernel_158, bias_158, params_158);
  struct csinn_tensor *output_160 = csinn_alloc_tensor(sess);
  output_160->name = "output_160";
  output_160->dtype = CSINN_DTYPE_INT8;
  output_160->layout = CSINN_LAYOUT_NCHW;
  output_160->dim[0] = 1;
  output_160->dim[1] = 64;
  output_160->dim[2] = 24;
  output_160->dim[3] = 40;
  output_160->dim_count = 4;
  output_160->qinfo = (struct csinn_quant_info *)(params_base + 279056);
  output_160->quant_channel = 1;
  struct csinn_sigmoid_params *params_160 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_160->base.name = "sigmoid_/model.6/cv2/act/Sigmoid_126";
  params_160->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_158, output_160, params_160);
  struct csinn_tensor *output_161 = csinn_alloc_tensor(sess);
  output_161->name = "output_161";
  output_161->dtype = CSINN_DTYPE_INT8;
  output_161->layout = CSINN_LAYOUT_NCHW;
  output_161->dim[0] = 1;
  output_161->dim[1] = 64;
  output_161->dim[2] = 24;
  output_161->dim[3] = 40;
  output_161->dim_count = 4;
  output_161->qinfo = (struct csinn_quant_info *)(params_base + 279080);
  output_161->quant_channel = 1;
  struct csinn_relu_params *params_161 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_161->base.name = "relu_127";
  params_161->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_160, output_161, params_161);
  struct csinn_tensor *output_162 = csinn_alloc_tensor(sess);
  output_162->name = "output_162";
  output_162->dtype = CSINN_DTYPE_INT8;
  output_162->layout = CSINN_LAYOUT_NCHW;
  output_162->dim[0] = 1;
  output_162->dim[1] = 64;
  output_162->dim[2] = 24;
  output_162->dim[3] = 40;
  output_162->dim_count = 4;
  output_162->qinfo = (struct csinn_quant_info *)(params_base + 279104);
  output_162->quant_channel = 1;
  struct csinn_diso_params *params_162 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_162->base.name = "multiply_/model.6/cv2/act/Mul_128";
  params_162->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_158, output_161, output_162, params_162);
  struct csinn_tensor *input_164_concat[2];
  struct csinn_tensor *output_164 = csinn_alloc_tensor(sess);
  output_164->name = "output_164";
  output_164->dtype = CSINN_DTYPE_INT8;
  output_164->layout = CSINN_LAYOUT_NCHW;
  output_164->dim[0] = 1;
  output_164->dim[1] = 128;
  output_164->dim[2] = 24;
  output_164->dim[3] = 40;
  output_164->dim_count = 4;
  output_164->qinfo = (struct csinn_quant_info *)(params_base + 279128);
  output_164->quant_channel = 1;
  struct csinn_concat_params *params_164 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_164->inputs_count = 2;
  params_164->axis = 1;
  params_164->base.name = "concatenate_/model.6/Concat_129";
  params_164->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_164_concat, output_164, params_164);
  struct csinn_tensor *output_165 = csinn_alloc_tensor(sess);
  output_165->name = "output_165";
  output_165->dtype = CSINN_DTYPE_INT8;
  output_165->layout = CSINN_LAYOUT_NCHW;
  output_165->dim[0] = 1;
  output_165->dim[1] = 128;
  output_165->dim[2] = 24;
  output_165->dim[3] = 40;
  output_165->dim_count = 4;
  output_165->qinfo = (struct csinn_quant_info *)(params_base + 279152);
  output_165->quant_channel = 1;
  struct csinn_tensor *kernel_165 = csinn_alloc_tensor(sess);
  kernel_165->name = "kernel_165";
  kernel_165->data = params_base + 279200;
  kernel_165->is_const = 1;
  kernel_165->dtype = CSINN_DTYPE_INT8;
  kernel_165->layout = CSINN_LAYOUT_OIHW;
  kernel_165->dim[0] = 128;
  kernel_165->dim[1] = 128;
  kernel_165->dim[2] = 1;
  kernel_165->dim[3] = 1;
  kernel_165->dim_count = 4;
  kernel_165->qinfo = (struct csinn_quant_info *)(params_base + 279176);
  kernel_165->quant_channel = 1;
  struct csinn_tensor *bias_165 = csinn_alloc_tensor(sess);
  bias_165->name = "bias_165";
  bias_165->data = params_base + 295608;
  bias_165->is_const = 1;
  bias_165->dtype = CSINN_DTYPE_INT32;
  bias_165->layout = CSINN_LAYOUT_O;
  bias_165->dim[0] = 128;
  bias_165->dim_count = 1;
  bias_165->qinfo = (struct csinn_quant_info *)(params_base + 295584);
  bias_165->quant_channel = 1;
  struct csinn_conv2d_params *params_165 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_165->group = 1;
  params_165->stride_height = 1;
  params_165->stride_width = 1;
  params_165->dilation_height = 1;
  params_165->dilation_width = 1;
  params_165->conv_extra.kernel_tm = NULL;
  params_165->conv_extra.conv_mode = CSINN_DIRECT;
  params_165->pad_top = 0;
  params_165->pad_left = 0;
  params_165->pad_down = 0;
  params_165->pad_right = 0;
  params_165->base.name = "conv2d_/model.6/cv3/conv/Conv_PART_0_130_fuse_bias_add_/model.6/cv3/conv/Conv_131";
  params_165->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_164, output_165, kernel_165, bias_165, params_165);
  struct csinn_tensor *output_167 = csinn_alloc_tensor(sess);
  output_167->name = "output_167";
  output_167->dtype = CSINN_DTYPE_INT8;
  output_167->layout = CSINN_LAYOUT_NCHW;
  output_167->dim[0] = 1;
  output_167->dim[1] = 128;
  output_167->dim[2] = 24;
  output_167->dim[3] = 40;
  output_167->dim_count = 4;
  output_167->qinfo = (struct csinn_quant_info *)(params_base + 296120);
  output_167->quant_channel = 1;
  struct csinn_sigmoid_params *params_167 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_167->base.name = "sigmoid_/model.6/cv3/act/Sigmoid_132";
  params_167->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_165, output_167, params_167);
  struct csinn_tensor *output_168 = csinn_alloc_tensor(sess);
  output_168->name = "output_168";
  output_168->dtype = CSINN_DTYPE_INT8;
  output_168->layout = CSINN_LAYOUT_NCHW;
  output_168->dim[0] = 1;
  output_168->dim[1] = 128;
  output_168->dim[2] = 24;
  output_168->dim[3] = 40;
  output_168->dim_count = 4;
  output_168->qinfo = (struct csinn_quant_info *)(params_base + 296144);
  output_168->quant_channel = 1;
  struct csinn_relu_params *params_168 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_168->base.name = "relu_133";
  params_168->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_167, output_168, params_168);
  struct csinn_tensor *output_169 = csinn_alloc_tensor(sess);
  output_169->name = "output_169";
  output_169->dtype = CSINN_DTYPE_INT8;
  output_169->layout = CSINN_LAYOUT_NCHW;
  output_169->dim[0] = 1;
  output_169->dim[1] = 128;
  output_169->dim[2] = 24;
  output_169->dim[3] = 40;
  output_169->dim_count = 4;
  output_169->qinfo = (struct csinn_quant_info *)(params_base + 296168);
  output_169->quant_channel = 1;
  struct csinn_diso_params *params_169 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_169->base.name = "multiply_/model.6/cv3/act/Mul_134";
  params_169->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_165, output_168, output_169, params_169);
  struct csinn_tensor *output_171 = csinn_alloc_tensor(sess);
  output_171->name = "output_171";
  output_171->dtype = CSINN_DTYPE_INT8;
  output_171->layout = CSINN_LAYOUT_NCHW;
  output_171->dim[0] = 1;
  output_171->dim[1] = 256;
  output_171->dim[2] = 12;
  output_171->dim[3] = 20;
  output_171->dim_count = 4;
  output_171->qinfo = (struct csinn_quant_info *)(params_base + 296192);
  output_171->quant_channel = 1;
  struct csinn_tensor *kernel_171 = csinn_alloc_tensor(sess);
  kernel_171->name = "kernel_171";
  kernel_171->data = params_base + 296240;
  kernel_171->is_const = 1;
  kernel_171->dtype = CSINN_DTYPE_INT8;
  kernel_171->layout = CSINN_LAYOUT_OIHW;
  kernel_171->dim[0] = 256;
  kernel_171->dim[1] = 128;
  kernel_171->dim[2] = 3;
  kernel_171->dim[3] = 3;
  kernel_171->dim_count = 4;
  kernel_171->qinfo = (struct csinn_quant_info *)(params_base + 296216);
  kernel_171->quant_channel = 1;
  struct csinn_tensor *bias_171 = csinn_alloc_tensor(sess);
  bias_171->name = "bias_171";
  bias_171->data = params_base + 591176;
  bias_171->is_const = 1;
  bias_171->dtype = CSINN_DTYPE_INT32;
  bias_171->layout = CSINN_LAYOUT_O;
  bias_171->dim[0] = 256;
  bias_171->dim_count = 1;
  bias_171->qinfo = (struct csinn_quant_info *)(params_base + 591152);
  bias_171->quant_channel = 1;
  struct csinn_conv2d_params *params_171 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_171->group = 1;
  params_171->stride_height = 2;
  params_171->stride_width = 2;
  params_171->dilation_height = 1;
  params_171->dilation_width = 1;
  params_171->conv_extra.kernel_tm = NULL;
  params_171->conv_extra.conv_mode = CSINN_DIRECT;
  params_171->pad_top = 1;
  params_171->pad_left = 1;
  params_171->pad_down = 1;
  params_171->pad_right = 1;
  params_171->base.name = "conv2d_/model.7/conv/Conv_PART_0_135_fuse_bias_add_/model.7/conv/Conv_136";
  params_171->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_169, output_171, kernel_171, bias_171, params_171);
  struct csinn_tensor *output_173 = csinn_alloc_tensor(sess);
  output_173->name = "output_173";
  output_173->dtype = CSINN_DTYPE_INT8;
  output_173->layout = CSINN_LAYOUT_NCHW;
  output_173->dim[0] = 1;
  output_173->dim[1] = 256;
  output_173->dim[2] = 12;
  output_173->dim[3] = 20;
  output_173->dim_count = 4;
  output_173->qinfo = (struct csinn_quant_info *)(params_base + 592200);
  output_173->quant_channel = 1;
  struct csinn_sigmoid_params *params_173 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_173->base.name = "sigmoid_/model.7/act/Sigmoid_137";
  params_173->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_171, output_173, params_173);
  struct csinn_tensor *output_174 = csinn_alloc_tensor(sess);
  output_174->name = "output_174";
  output_174->dtype = CSINN_DTYPE_INT8;
  output_174->layout = CSINN_LAYOUT_NCHW;
  output_174->dim[0] = 1;
  output_174->dim[1] = 256;
  output_174->dim[2] = 12;
  output_174->dim[3] = 20;
  output_174->dim_count = 4;
  output_174->qinfo = (struct csinn_quant_info *)(params_base + 592224);
  output_174->quant_channel = 1;
  struct csinn_relu_params *params_174 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_174->base.name = "relu_138";
  params_174->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_173, output_174, params_174);
  struct csinn_tensor *output_175 = csinn_alloc_tensor(sess);
  output_175->name = "output_175";
  output_175->dtype = CSINN_DTYPE_INT8;
  output_175->layout = CSINN_LAYOUT_NCHW;
  output_175->dim[0] = 1;
  output_175->dim[1] = 256;
  output_175->dim[2] = 12;
  output_175->dim[3] = 20;
  output_175->dim_count = 4;
  output_175->qinfo = (struct csinn_quant_info *)(params_base + 592248);
  output_175->quant_channel = 1;
  struct csinn_diso_params *params_175 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_175->base.name = "multiply_/model.7/act/Mul_139";
  params_175->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_171, output_174, output_175, params_175);
  struct csinn_tensor *output_177 = csinn_alloc_tensor(sess);
  output_177->name = "output_177";
  output_177->dtype = CSINN_DTYPE_INT8;
  output_177->layout = CSINN_LAYOUT_NCHW;
  output_177->dim[0] = 1;
  output_177->dim[1] = 128;
  output_177->dim[2] = 12;
  output_177->dim[3] = 20;
  output_177->dim_count = 4;
  output_177->qinfo = (struct csinn_quant_info *)(params_base + 592272);
  output_177->quant_channel = 1;
  struct csinn_tensor *kernel_177 = csinn_alloc_tensor(sess);
  kernel_177->name = "kernel_177";
  kernel_177->data = params_base + 592320;
  kernel_177->is_const = 1;
  kernel_177->dtype = CSINN_DTYPE_INT8;
  kernel_177->layout = CSINN_LAYOUT_OIHW;
  kernel_177->dim[0] = 128;
  kernel_177->dim[1] = 256;
  kernel_177->dim[2] = 1;
  kernel_177->dim[3] = 1;
  kernel_177->dim_count = 4;
  kernel_177->qinfo = (struct csinn_quant_info *)(params_base + 592296);
  kernel_177->quant_channel = 1;
  struct csinn_tensor *bias_177 = csinn_alloc_tensor(sess);
  bias_177->name = "bias_177";
  bias_177->data = params_base + 625112;
  bias_177->is_const = 1;
  bias_177->dtype = CSINN_DTYPE_INT32;
  bias_177->layout = CSINN_LAYOUT_O;
  bias_177->dim[0] = 128;
  bias_177->dim_count = 1;
  bias_177->qinfo = (struct csinn_quant_info *)(params_base + 625088);
  bias_177->quant_channel = 1;
  struct csinn_conv2d_params *params_177 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_177->group = 1;
  params_177->stride_height = 1;
  params_177->stride_width = 1;
  params_177->dilation_height = 1;
  params_177->dilation_width = 1;
  params_177->conv_extra.kernel_tm = NULL;
  params_177->conv_extra.conv_mode = CSINN_DIRECT;
  params_177->pad_top = 0;
  params_177->pad_left = 0;
  params_177->pad_down = 0;
  params_177->pad_right = 0;
  params_177->base.name = "conv2d_/model.8/cv1/conv/Conv_PART_0_140_fuse_bias_add_/model.8/cv1/conv/Conv_141";
  params_177->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_175, output_177, kernel_177, bias_177, params_177);
  struct csinn_tensor *output_179 = csinn_alloc_tensor(sess);
  output_179->name = "output_179";
  output_179->dtype = CSINN_DTYPE_INT8;
  output_179->layout = CSINN_LAYOUT_NCHW;
  output_179->dim[0] = 1;
  output_179->dim[1] = 128;
  output_179->dim[2] = 12;
  output_179->dim[3] = 20;
  output_179->dim_count = 4;
  output_179->qinfo = (struct csinn_quant_info *)(params_base + 625624);
  output_179->quant_channel = 1;
  struct csinn_sigmoid_params *params_179 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_179->base.name = "sigmoid_/model.8/cv1/act/Sigmoid_142";
  params_179->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_177, output_179, params_179);
  struct csinn_tensor *output_180 = csinn_alloc_tensor(sess);
  output_180->name = "output_180";
  output_180->dtype = CSINN_DTYPE_INT8;
  output_180->layout = CSINN_LAYOUT_NCHW;
  output_180->dim[0] = 1;
  output_180->dim[1] = 128;
  output_180->dim[2] = 12;
  output_180->dim[3] = 20;
  output_180->dim_count = 4;
  output_180->qinfo = (struct csinn_quant_info *)(params_base + 625648);
  output_180->quant_channel = 1;
  struct csinn_relu_params *params_180 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_180->base.name = "relu_143";
  params_180->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_179, output_180, params_180);
  struct csinn_tensor *output_181 = csinn_alloc_tensor(sess);
  output_181->name = "output_181";
  output_181->dtype = CSINN_DTYPE_INT8;
  output_181->layout = CSINN_LAYOUT_NCHW;
  output_181->dim[0] = 1;
  output_181->dim[1] = 128;
  output_181->dim[2] = 12;
  output_181->dim[3] = 20;
  output_181->dim_count = 4;
  output_181->qinfo = (struct csinn_quant_info *)(params_base + 625672);
  output_181->quant_channel = 1;
  struct csinn_diso_params *params_181 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_181->base.name = "multiply_/model.8/cv1/act/Mul_144";
  params_181->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_177, output_180, output_181, params_181);
  struct csinn_tensor *output_184 = csinn_alloc_tensor(sess);
  output_184->name = "output_184";
  output_184->dtype = CSINN_DTYPE_INT8;
  output_184->layout = CSINN_LAYOUT_NCHW;
  output_184->dim[0] = 1;
  output_184->dim[1] = 128;
  output_184->dim[2] = 12;
  output_184->dim[3] = 20;
  output_184->dim_count = 4;
  output_184->qinfo = (struct csinn_quant_info *)(params_base + 625696);
  output_184->quant_channel = 1;
  struct csinn_tensor *kernel_184 = csinn_alloc_tensor(sess);
  kernel_184->name = "kernel_184";
  kernel_184->data = params_base + 625744;
  kernel_184->is_const = 1;
  kernel_184->dtype = CSINN_DTYPE_INT8;
  kernel_184->layout = CSINN_LAYOUT_OIHW;
  kernel_184->dim[0] = 128;
  kernel_184->dim[1] = 128;
  kernel_184->dim[2] = 1;
  kernel_184->dim[3] = 1;
  kernel_184->dim_count = 4;
  kernel_184->qinfo = (struct csinn_quant_info *)(params_base + 625720);
  kernel_184->quant_channel = 1;
  struct csinn_tensor *bias_184 = csinn_alloc_tensor(sess);
  bias_184->name = "bias_184";
  bias_184->data = params_base + 642152;
  bias_184->is_const = 1;
  bias_184->dtype = CSINN_DTYPE_INT32;
  bias_184->layout = CSINN_LAYOUT_O;
  bias_184->dim[0] = 128;
  bias_184->dim_count = 1;
  bias_184->qinfo = (struct csinn_quant_info *)(params_base + 642128);
  bias_184->quant_channel = 1;
  struct csinn_conv2d_params *params_184 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_184->group = 1;
  params_184->stride_height = 1;
  params_184->stride_width = 1;
  params_184->dilation_height = 1;
  params_184->dilation_width = 1;
  params_184->conv_extra.kernel_tm = NULL;
  params_184->conv_extra.conv_mode = CSINN_DIRECT;
  params_184->pad_top = 0;
  params_184->pad_left = 0;
  params_184->pad_down = 0;
  params_184->pad_right = 0;
  params_184->base.name = "conv2d_/model.8/m/m.0/cv1/conv/Conv_PART_0_145_fuse_bias_add_/model.8/m/m.0/cv1/conv/Conv_146";
  params_184->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_181, output_184, kernel_184, bias_184, params_184);
  struct csinn_tensor *output_186 = csinn_alloc_tensor(sess);
  output_186->name = "output_186";
  output_186->dtype = CSINN_DTYPE_INT8;
  output_186->layout = CSINN_LAYOUT_NCHW;
  output_186->dim[0] = 1;
  output_186->dim[1] = 128;
  output_186->dim[2] = 12;
  output_186->dim[3] = 20;
  output_186->dim_count = 4;
  output_186->qinfo = (struct csinn_quant_info *)(params_base + 642664);
  output_186->quant_channel = 1;
  struct csinn_sigmoid_params *params_186 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_186->base.name = "sigmoid_/model.8/m/m.0/cv1/act/Sigmoid_147";
  params_186->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_184, output_186, params_186);
  struct csinn_tensor *output_187 = csinn_alloc_tensor(sess);
  output_187->name = "output_187";
  output_187->dtype = CSINN_DTYPE_INT8;
  output_187->layout = CSINN_LAYOUT_NCHW;
  output_187->dim[0] = 1;
  output_187->dim[1] = 128;
  output_187->dim[2] = 12;
  output_187->dim[3] = 20;
  output_187->dim_count = 4;
  output_187->qinfo = (struct csinn_quant_info *)(params_base + 642688);
  output_187->quant_channel = 1;
  struct csinn_relu_params *params_187 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_187->base.name = "relu_148";
  params_187->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_186, output_187, params_187);
  struct csinn_tensor *output_188 = csinn_alloc_tensor(sess);
  output_188->name = "output_188";
  output_188->dtype = CSINN_DTYPE_INT8;
  output_188->layout = CSINN_LAYOUT_NCHW;
  output_188->dim[0] = 1;
  output_188->dim[1] = 128;
  output_188->dim[2] = 12;
  output_188->dim[3] = 20;
  output_188->dim_count = 4;
  output_188->qinfo = (struct csinn_quant_info *)(params_base + 642712);
  output_188->quant_channel = 1;
  struct csinn_diso_params *params_188 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_188->base.name = "multiply_/model.8/m/m.0/cv1/act/Mul_149";
  params_188->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_184, output_187, output_188, params_188);
  struct csinn_tensor *output_190 = csinn_alloc_tensor(sess);
  output_190->name = "output_190";
  output_190->dtype = CSINN_DTYPE_INT8;
  output_190->layout = CSINN_LAYOUT_NCHW;
  output_190->dim[0] = 1;
  output_190->dim[1] = 128;
  output_190->dim[2] = 12;
  output_190->dim[3] = 20;
  output_190->dim_count = 4;
  output_190->qinfo = (struct csinn_quant_info *)(params_base + 642736);
  output_190->quant_channel = 1;
  struct csinn_tensor *kernel_190 = csinn_alloc_tensor(sess);
  kernel_190->name = "kernel_190";
  kernel_190->data = params_base + 642784;
  kernel_190->is_const = 1;
  kernel_190->dtype = CSINN_DTYPE_INT8;
  kernel_190->layout = CSINN_LAYOUT_OIHW;
  kernel_190->dim[0] = 128;
  kernel_190->dim[1] = 128;
  kernel_190->dim[2] = 3;
  kernel_190->dim[3] = 3;
  kernel_190->dim_count = 4;
  kernel_190->qinfo = (struct csinn_quant_info *)(params_base + 642760);
  kernel_190->quant_channel = 1;
  struct csinn_tensor *bias_190 = csinn_alloc_tensor(sess);
  bias_190->name = "bias_190";
  bias_190->data = params_base + 790264;
  bias_190->is_const = 1;
  bias_190->dtype = CSINN_DTYPE_INT32;
  bias_190->layout = CSINN_LAYOUT_O;
  bias_190->dim[0] = 128;
  bias_190->dim_count = 1;
  bias_190->qinfo = (struct csinn_quant_info *)(params_base + 790240);
  bias_190->quant_channel = 1;
  struct csinn_conv2d_params *params_190 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_190->group = 1;
  params_190->stride_height = 1;
  params_190->stride_width = 1;
  params_190->dilation_height = 1;
  params_190->dilation_width = 1;
  params_190->conv_extra.kernel_tm = NULL;
  params_190->conv_extra.conv_mode = CSINN_DIRECT;
  params_190->pad_top = 1;
  params_190->pad_left = 1;
  params_190->pad_down = 1;
  params_190->pad_right = 1;
  params_190->base.name = "conv2d_/model.8/m/m.0/cv2/conv/Conv_PART_0_150_fuse_bias_add_/model.8/m/m.0/cv2/conv/Conv_151";
  params_190->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_188, output_190, kernel_190, bias_190, params_190);
  struct csinn_tensor *output_192 = csinn_alloc_tensor(sess);
  output_192->name = "output_192";
  output_192->dtype = CSINN_DTYPE_INT8;
  output_192->layout = CSINN_LAYOUT_NCHW;
  output_192->dim[0] = 1;
  output_192->dim[1] = 128;
  output_192->dim[2] = 12;
  output_192->dim[3] = 20;
  output_192->dim_count = 4;
  output_192->qinfo = (struct csinn_quant_info *)(params_base + 790776);
  output_192->quant_channel = 1;
  struct csinn_sigmoid_params *params_192 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_192->base.name = "sigmoid_/model.8/m/m.0/cv2/act/Sigmoid_152";
  params_192->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_190, output_192, params_192);
  struct csinn_tensor *output_193 = csinn_alloc_tensor(sess);
  output_193->name = "output_193";
  output_193->dtype = CSINN_DTYPE_INT8;
  output_193->layout = CSINN_LAYOUT_NCHW;
  output_193->dim[0] = 1;
  output_193->dim[1] = 128;
  output_193->dim[2] = 12;
  output_193->dim[3] = 20;
  output_193->dim_count = 4;
  output_193->qinfo = (struct csinn_quant_info *)(params_base + 790800);
  output_193->quant_channel = 1;
  struct csinn_relu_params *params_193 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_193->base.name = "relu_153";
  params_193->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_192, output_193, params_193);
  struct csinn_tensor *output_194 = csinn_alloc_tensor(sess);
  output_194->name = "output_194";
  output_194->dtype = CSINN_DTYPE_INT8;
  output_194->layout = CSINN_LAYOUT_NCHW;
  output_194->dim[0] = 1;
  output_194->dim[1] = 128;
  output_194->dim[2] = 12;
  output_194->dim[3] = 20;
  output_194->dim_count = 4;
  output_194->qinfo = (struct csinn_quant_info *)(params_base + 790824);
  output_194->quant_channel = 1;
  struct csinn_diso_params *params_194 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_194->base.name = "multiply_/model.8/m/m.0/cv2/act/Mul_154";
  params_194->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_190, output_193, output_194, params_194);
  struct csinn_tensor *output_196 = csinn_alloc_tensor(sess);
  output_196->name = "output_196";
  output_196->dtype = CSINN_DTYPE_INT8;
  output_196->layout = CSINN_LAYOUT_NCHW;
  output_196->dim[0] = 1;
  output_196->dim[1] = 128;
  output_196->dim[2] = 12;
  output_196->dim[3] = 20;
  output_196->dim_count = 4;
  output_196->qinfo = (struct csinn_quant_info *)(params_base + 790848);
  output_196->quant_channel = 1;
  struct csinn_diso_params *params_196 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_196->base.name = "add_/model.8/m/m.0/Add_155";
  params_196->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_add_init(output_181, output_194, output_196, params_196);
  struct csinn_tensor *output_198 = csinn_alloc_tensor(sess);
  output_198->name = "output_198";
  output_198->dtype = CSINN_DTYPE_INT8;
  output_198->layout = CSINN_LAYOUT_NCHW;
  output_198->dim[0] = 1;
  output_198->dim[1] = 128;
  output_198->dim[2] = 12;
  output_198->dim[3] = 20;
  output_198->dim_count = 4;
  output_198->qinfo = (struct csinn_quant_info *)(params_base + 790872);
  output_198->quant_channel = 1;
  struct csinn_tensor *kernel_198 = csinn_alloc_tensor(sess);
  kernel_198->name = "kernel_198";
  kernel_198->data = params_base + 790920;
  kernel_198->is_const = 1;
  kernel_198->dtype = CSINN_DTYPE_INT8;
  kernel_198->layout = CSINN_LAYOUT_OIHW;
  kernel_198->dim[0] = 128;
  kernel_198->dim[1] = 256;
  kernel_198->dim[2] = 1;
  kernel_198->dim[3] = 1;
  kernel_198->dim_count = 4;
  kernel_198->qinfo = (struct csinn_quant_info *)(params_base + 790896);
  kernel_198->quant_channel = 1;
  struct csinn_tensor *bias_198 = csinn_alloc_tensor(sess);
  bias_198->name = "bias_198";
  bias_198->data = params_base + 823712;
  bias_198->is_const = 1;
  bias_198->dtype = CSINN_DTYPE_INT32;
  bias_198->layout = CSINN_LAYOUT_O;
  bias_198->dim[0] = 128;
  bias_198->dim_count = 1;
  bias_198->qinfo = (struct csinn_quant_info *)(params_base + 823688);
  bias_198->quant_channel = 1;
  struct csinn_conv2d_params *params_198 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_198->group = 1;
  params_198->stride_height = 1;
  params_198->stride_width = 1;
  params_198->dilation_height = 1;
  params_198->dilation_width = 1;
  params_198->conv_extra.kernel_tm = NULL;
  params_198->conv_extra.conv_mode = CSINN_DIRECT;
  params_198->pad_top = 0;
  params_198->pad_left = 0;
  params_198->pad_down = 0;
  params_198->pad_right = 0;
  params_198->base.name = "conv2d_/model.8/cv2/conv/Conv_PART_0_156_fuse_bias_add_/model.8/cv2/conv/Conv_157";
  params_198->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_175, output_198, kernel_198, bias_198, params_198);
  struct csinn_tensor *output_200 = csinn_alloc_tensor(sess);
  output_200->name = "output_200";
  output_200->dtype = CSINN_DTYPE_INT8;
  output_200->layout = CSINN_LAYOUT_NCHW;
  output_200->dim[0] = 1;
  output_200->dim[1] = 128;
  output_200->dim[2] = 12;
  output_200->dim[3] = 20;
  output_200->dim_count = 4;
  output_200->qinfo = (struct csinn_quant_info *)(params_base + 824224);
  output_200->quant_channel = 1;
  struct csinn_sigmoid_params *params_200 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_200->base.name = "sigmoid_/model.8/cv2/act/Sigmoid_158";
  params_200->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_198, output_200, params_200);
  struct csinn_tensor *output_201 = csinn_alloc_tensor(sess);
  output_201->name = "output_201";
  output_201->dtype = CSINN_DTYPE_INT8;
  output_201->layout = CSINN_LAYOUT_NCHW;
  output_201->dim[0] = 1;
  output_201->dim[1] = 128;
  output_201->dim[2] = 12;
  output_201->dim[3] = 20;
  output_201->dim_count = 4;
  output_201->qinfo = (struct csinn_quant_info *)(params_base + 824248);
  output_201->quant_channel = 1;
  struct csinn_relu_params *params_201 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_201->base.name = "relu_159";
  params_201->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_200, output_201, params_201);
  struct csinn_tensor *output_202 = csinn_alloc_tensor(sess);
  output_202->name = "output_202";
  output_202->dtype = CSINN_DTYPE_INT8;
  output_202->layout = CSINN_LAYOUT_NCHW;
  output_202->dim[0] = 1;
  output_202->dim[1] = 128;
  output_202->dim[2] = 12;
  output_202->dim[3] = 20;
  output_202->dim_count = 4;
  output_202->qinfo = (struct csinn_quant_info *)(params_base + 824272);
  output_202->quant_channel = 1;
  struct csinn_diso_params *params_202 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_202->base.name = "multiply_/model.8/cv2/act/Mul_160";
  params_202->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_198, output_201, output_202, params_202);
  struct csinn_tensor *input_204_concat[2];
  struct csinn_tensor *output_204 = csinn_alloc_tensor(sess);
  output_204->name = "output_204";
  output_204->dtype = CSINN_DTYPE_INT8;
  output_204->layout = CSINN_LAYOUT_NCHW;
  output_204->dim[0] = 1;
  output_204->dim[1] = 256;
  output_204->dim[2] = 12;
  output_204->dim[3] = 20;
  output_204->dim_count = 4;
  output_204->qinfo = (struct csinn_quant_info *)(params_base + 824296);
  output_204->quant_channel = 1;
  struct csinn_concat_params *params_204 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_204->inputs_count = 2;
  params_204->axis = 1;
  params_204->base.name = "concatenate_/model.8/Concat_161";
  params_204->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_204_concat, output_204, params_204);
  struct csinn_tensor *output_205 = csinn_alloc_tensor(sess);
  output_205->name = "output_205";
  output_205->dtype = CSINN_DTYPE_INT8;
  output_205->layout = CSINN_LAYOUT_NCHW;
  output_205->dim[0] = 1;
  output_205->dim[1] = 256;
  output_205->dim[2] = 12;
  output_205->dim[3] = 20;
  output_205->dim_count = 4;
  output_205->qinfo = (struct csinn_quant_info *)(params_base + 824320);
  output_205->quant_channel = 1;
  struct csinn_tensor *kernel_205 = csinn_alloc_tensor(sess);
  kernel_205->name = "kernel_205";
  kernel_205->data = params_base + 824368;
  kernel_205->is_const = 1;
  kernel_205->dtype = CSINN_DTYPE_INT8;
  kernel_205->layout = CSINN_LAYOUT_OIHW;
  kernel_205->dim[0] = 256;
  kernel_205->dim[1] = 256;
  kernel_205->dim[2] = 1;
  kernel_205->dim[3] = 1;
  kernel_205->dim_count = 4;
  kernel_205->qinfo = (struct csinn_quant_info *)(params_base + 824344);
  kernel_205->quant_channel = 1;
  struct csinn_tensor *bias_205 = csinn_alloc_tensor(sess);
  bias_205->name = "bias_205";
  bias_205->data = params_base + 889928;
  bias_205->is_const = 1;
  bias_205->dtype = CSINN_DTYPE_INT32;
  bias_205->layout = CSINN_LAYOUT_O;
  bias_205->dim[0] = 256;
  bias_205->dim_count = 1;
  bias_205->qinfo = (struct csinn_quant_info *)(params_base + 889904);
  bias_205->quant_channel = 1;
  struct csinn_conv2d_params *params_205 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_205->group = 1;
  params_205->stride_height = 1;
  params_205->stride_width = 1;
  params_205->dilation_height = 1;
  params_205->dilation_width = 1;
  params_205->conv_extra.kernel_tm = NULL;
  params_205->conv_extra.conv_mode = CSINN_DIRECT;
  params_205->pad_top = 0;
  params_205->pad_left = 0;
  params_205->pad_down = 0;
  params_205->pad_right = 0;
  params_205->base.name = "conv2d_/model.8/cv3/conv/Conv_PART_0_162_fuse_bias_add_/model.8/cv3/conv/Conv_163";
  params_205->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_204, output_205, kernel_205, bias_205, params_205);
  struct csinn_tensor *output_207 = csinn_alloc_tensor(sess);
  output_207->name = "output_207";
  output_207->dtype = CSINN_DTYPE_INT8;
  output_207->layout = CSINN_LAYOUT_NCHW;
  output_207->dim[0] = 1;
  output_207->dim[1] = 256;
  output_207->dim[2] = 12;
  output_207->dim[3] = 20;
  output_207->dim_count = 4;
  output_207->qinfo = (struct csinn_quant_info *)(params_base + 890952);
  output_207->quant_channel = 1;
  struct csinn_sigmoid_params *params_207 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_207->base.name = "sigmoid_/model.8/cv3/act/Sigmoid_164";
  params_207->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_205, output_207, params_207);
  struct csinn_tensor *output_208 = csinn_alloc_tensor(sess);
  output_208->name = "output_208";
  output_208->dtype = CSINN_DTYPE_INT8;
  output_208->layout = CSINN_LAYOUT_NCHW;
  output_208->dim[0] = 1;
  output_208->dim[1] = 256;
  output_208->dim[2] = 12;
  output_208->dim[3] = 20;
  output_208->dim_count = 4;
  output_208->qinfo = (struct csinn_quant_info *)(params_base + 890976);
  output_208->quant_channel = 1;
  struct csinn_relu_params *params_208 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_208->base.name = "relu_165";
  params_208->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_207, output_208, params_208);
  struct csinn_tensor *output_209 = csinn_alloc_tensor(sess);
  output_209->name = "output_209";
  output_209->dtype = CSINN_DTYPE_INT8;
  output_209->layout = CSINN_LAYOUT_NCHW;
  output_209->dim[0] = 1;
  output_209->dim[1] = 256;
  output_209->dim[2] = 12;
  output_209->dim[3] = 20;
  output_209->dim_count = 4;
  output_209->qinfo = (struct csinn_quant_info *)(params_base + 891000);
  output_209->quant_channel = 1;
  struct csinn_diso_params *params_209 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_209->base.name = "multiply_/model.8/cv3/act/Mul_166";
  params_209->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_205, output_208, output_209, params_209);
  struct csinn_tensor *output_211 = csinn_alloc_tensor(sess);
  output_211->name = "output_211";
  output_211->dtype = CSINN_DTYPE_INT8;
  output_211->layout = CSINN_LAYOUT_NCHW;
  output_211->dim[0] = 1;
  output_211->dim[1] = 128;
  output_211->dim[2] = 12;
  output_211->dim[3] = 20;
  output_211->dim_count = 4;
  output_211->qinfo = (struct csinn_quant_info *)(params_base + 891024);
  output_211->quant_channel = 1;
  struct csinn_tensor *kernel_211 = csinn_alloc_tensor(sess);
  kernel_211->name = "kernel_211";
  kernel_211->data = params_base + 891072;
  kernel_211->is_const = 1;
  kernel_211->dtype = CSINN_DTYPE_INT8;
  kernel_211->layout = CSINN_LAYOUT_OIHW;
  kernel_211->dim[0] = 128;
  kernel_211->dim[1] = 256;
  kernel_211->dim[2] = 1;
  kernel_211->dim[3] = 1;
  kernel_211->dim_count = 4;
  kernel_211->qinfo = (struct csinn_quant_info *)(params_base + 891048);
  kernel_211->quant_channel = 1;
  struct csinn_tensor *bias_211 = csinn_alloc_tensor(sess);
  bias_211->name = "bias_211";
  bias_211->data = params_base + 923864;
  bias_211->is_const = 1;
  bias_211->dtype = CSINN_DTYPE_INT32;
  bias_211->layout = CSINN_LAYOUT_O;
  bias_211->dim[0] = 128;
  bias_211->dim_count = 1;
  bias_211->qinfo = (struct csinn_quant_info *)(params_base + 923840);
  bias_211->quant_channel = 1;
  struct csinn_conv2d_params *params_211 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_211->group = 1;
  params_211->stride_height = 1;
  params_211->stride_width = 1;
  params_211->dilation_height = 1;
  params_211->dilation_width = 1;
  params_211->conv_extra.kernel_tm = NULL;
  params_211->conv_extra.conv_mode = CSINN_DIRECT;
  params_211->pad_top = 0;
  params_211->pad_left = 0;
  params_211->pad_down = 0;
  params_211->pad_right = 0;
  params_211->base.name = "conv2d_/model.9/cv1/conv/Conv_PART_0_167_fuse_bias_add_/model.9/cv1/conv/Conv_168";
  params_211->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_209, output_211, kernel_211, bias_211, params_211);
  struct csinn_tensor *output_213 = csinn_alloc_tensor(sess);
  output_213->name = "output_213";
  output_213->dtype = CSINN_DTYPE_INT8;
  output_213->layout = CSINN_LAYOUT_NCHW;
  output_213->dim[0] = 1;
  output_213->dim[1] = 128;
  output_213->dim[2] = 12;
  output_213->dim[3] = 20;
  output_213->dim_count = 4;
  output_213->qinfo = (struct csinn_quant_info *)(params_base + 924376);
  output_213->quant_channel = 1;
  struct csinn_sigmoid_params *params_213 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_213->base.name = "sigmoid_/model.9/cv1/act/Sigmoid_169";
  params_213->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_211, output_213, params_213);
  struct csinn_tensor *output_214 = csinn_alloc_tensor(sess);
  output_214->name = "output_214";
  output_214->dtype = CSINN_DTYPE_INT8;
  output_214->layout = CSINN_LAYOUT_NCHW;
  output_214->dim[0] = 1;
  output_214->dim[1] = 128;
  output_214->dim[2] = 12;
  output_214->dim[3] = 20;
  output_214->dim_count = 4;
  output_214->qinfo = (struct csinn_quant_info *)(params_base + 924400);
  output_214->quant_channel = 1;
  struct csinn_relu_params *params_214 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_214->base.name = "relu_170";
  params_214->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_213, output_214, params_214);
  struct csinn_tensor *output_215 = csinn_alloc_tensor(sess);
  output_215->name = "output_215";
  output_215->dtype = CSINN_DTYPE_INT8;
  output_215->layout = CSINN_LAYOUT_NCHW;
  output_215->dim[0] = 1;
  output_215->dim[1] = 128;
  output_215->dim[2] = 12;
  output_215->dim[3] = 20;
  output_215->dim_count = 4;
  output_215->qinfo = (struct csinn_quant_info *)(params_base + 924424);
  output_215->quant_channel = 1;
  struct csinn_diso_params *params_215 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_215->base.name = "multiply_/model.9/cv1/act/Mul_171";
  params_215->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_211, output_214, output_215, params_215);
  struct csinn_tensor *output_217 = csinn_alloc_tensor(sess);
  output_217->name = "output_217";
  output_217->dtype = CSINN_DTYPE_INT8;
  output_217->layout = CSINN_LAYOUT_NCHW;
  output_217->dim[0] = 1;
  output_217->dim[1] = 128;
  output_217->dim[2] = 12;
  output_217->dim[3] = 20;
  output_217->dim_count = 4;
  output_217->qinfo = (struct csinn_quant_info *)(params_base + 924448);
  output_217->quant_channel = 1;
  struct csinn_pool_params *params_217 = csinn_alloc_params(sizeof(struct csinn_pool_params), sess);
  params_217->stride_height = 1;
  params_217->stride_width = 1;
  params_217->filter_height = 5;
  params_217->filter_width = 5;
  params_217->ceil_mode = 0;
  params_217->pad_top = 2;
  params_217->pad_left = 2;
  params_217->pad_down = 2;
  params_217->pad_right = 2;
  params_217->base.name = "max_pool2d_/model.9/m/MaxPool_172";
  params_217->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_maxpool2d_init(output_215, output_217, params_217);
  struct csinn_tensor *output_219 = csinn_alloc_tensor(sess);
  output_219->name = "output_219";
  output_219->dtype = CSINN_DTYPE_INT8;
  output_219->layout = CSINN_LAYOUT_NCHW;
  output_219->dim[0] = 1;
  output_219->dim[1] = 128;
  output_219->dim[2] = 12;
  output_219->dim[3] = 20;
  output_219->dim_count = 4;
  output_219->qinfo = (struct csinn_quant_info *)(params_base + 924472);
  output_219->quant_channel = 1;
  struct csinn_tensor *rhs_219 = csinn_alloc_tensor(sess);
  rhs_219->name = "rhs_219";
  rhs_219->data = params_base + 924520;
  rhs_219->is_const = 1;
  rhs_219->dtype = CSINN_DTYPE_INT8;
  rhs_219->layout = CSINN_LAYOUT_OIHW;
  rhs_219->dim[0] = 1;
  rhs_219->dim[1] = 128;
  rhs_219->dim[2] = 12;
  rhs_219->dim[3] = 20;
  rhs_219->dim_count = 4;
  rhs_219->qinfo = (struct csinn_quant_info *)(params_base + 924496);
  rhs_219->quant_channel = 1;
  struct csinn_diso_params *params_219 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_219->base.name = "mul_316";
  params_219->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_217, rhs_219, output_219, params_219);
  struct csinn_tensor *output_221 = csinn_alloc_tensor(sess);
  output_221->name = "output_221";
  output_221->dtype = CSINN_DTYPE_INT8;
  output_221->layout = CSINN_LAYOUT_NCHW;
  output_221->dim[0] = 1;
  output_221->dim[1] = 128;
  output_221->dim[2] = 12;
  output_221->dim[3] = 20;
  output_221->dim_count = 4;
  output_221->qinfo = (struct csinn_quant_info *)(params_base + 955240);
  output_221->quant_channel = 1;
  struct csinn_pool_params *params_221 = csinn_alloc_params(sizeof(struct csinn_pool_params), sess);
  params_221->stride_height = 1;
  params_221->stride_width = 1;
  params_221->filter_height = 5;
  params_221->filter_width = 5;
  params_221->ceil_mode = 0;
  params_221->pad_top = 2;
  params_221->pad_left = 2;
  params_221->pad_down = 2;
  params_221->pad_right = 2;
  params_221->base.name = "max_pool2d_/model.9/m_1/MaxPool_173";
  params_221->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_maxpool2d_init(output_217, output_221, params_221);
  struct csinn_tensor *output_223 = csinn_alloc_tensor(sess);
  output_223->name = "output_223";
  output_223->dtype = CSINN_DTYPE_INT8;
  output_223->layout = CSINN_LAYOUT_NCHW;
  output_223->dim[0] = 1;
  output_223->dim[1] = 128;
  output_223->dim[2] = 12;
  output_223->dim[3] = 20;
  output_223->dim_count = 4;
  output_223->qinfo = (struct csinn_quant_info *)(params_base + 955264);
  output_223->quant_channel = 1;
  struct csinn_tensor *rhs_223 = csinn_alloc_tensor(sess);
  rhs_223->name = "rhs_223";
  rhs_223->data = params_base + 955312;
  rhs_223->is_const = 1;
  rhs_223->dtype = CSINN_DTYPE_INT8;
  rhs_223->layout = CSINN_LAYOUT_OIHW;
  rhs_223->dim[0] = 1;
  rhs_223->dim[1] = 128;
  rhs_223->dim[2] = 12;
  rhs_223->dim[3] = 20;
  rhs_223->dim_count = 4;
  rhs_223->qinfo = (struct csinn_quant_info *)(params_base + 955288);
  rhs_223->quant_channel = 1;
  struct csinn_diso_params *params_223 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_223->base.name = "mul_317";
  params_223->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_221, rhs_223, output_223, params_223);
  struct csinn_tensor *output_225 = csinn_alloc_tensor(sess);
  output_225->name = "output_225";
  output_225->dtype = CSINN_DTYPE_INT8;
  output_225->layout = CSINN_LAYOUT_NCHW;
  output_225->dim[0] = 1;
  output_225->dim[1] = 128;
  output_225->dim[2] = 12;
  output_225->dim[3] = 20;
  output_225->dim_count = 4;
  output_225->qinfo = (struct csinn_quant_info *)(params_base + 986032);
  output_225->quant_channel = 1;
  struct csinn_pool_params *params_225 = csinn_alloc_params(sizeof(struct csinn_pool_params), sess);
  params_225->stride_height = 1;
  params_225->stride_width = 1;
  params_225->filter_height = 5;
  params_225->filter_width = 5;
  params_225->ceil_mode = 0;
  params_225->pad_top = 2;
  params_225->pad_left = 2;
  params_225->pad_down = 2;
  params_225->pad_right = 2;
  params_225->base.name = "max_pool2d_/model.9/m_2/MaxPool_174";
  params_225->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_maxpool2d_init(output_221, output_225, params_225);
  struct csinn_tensor *output_227 = csinn_alloc_tensor(sess);
  output_227->name = "output_227";
  output_227->dtype = CSINN_DTYPE_INT8;
  output_227->layout = CSINN_LAYOUT_NCHW;
  output_227->dim[0] = 1;
  output_227->dim[1] = 128;
  output_227->dim[2] = 12;
  output_227->dim[3] = 20;
  output_227->dim_count = 4;
  output_227->qinfo = (struct csinn_quant_info *)(params_base + 986056);
  output_227->quant_channel = 1;
  struct csinn_tensor *rhs_227 = csinn_alloc_tensor(sess);
  rhs_227->name = "rhs_227";
  rhs_227->data = params_base + 986104;
  rhs_227->is_const = 1;
  rhs_227->dtype = CSINN_DTYPE_INT8;
  rhs_227->layout = CSINN_LAYOUT_OIHW;
  rhs_227->dim[0] = 1;
  rhs_227->dim[1] = 128;
  rhs_227->dim[2] = 12;
  rhs_227->dim[3] = 20;
  rhs_227->dim_count = 4;
  rhs_227->qinfo = (struct csinn_quant_info *)(params_base + 986080);
  rhs_227->quant_channel = 1;
  struct csinn_diso_params *params_227 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_227->base.name = "mul_318";
  params_227->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_225, rhs_227, output_227, params_227);
  struct csinn_tensor *input_229_concat[4];
  struct csinn_tensor *output_229 = csinn_alloc_tensor(sess);
  output_229->name = "output_229";
  output_229->dtype = CSINN_DTYPE_INT8;
  output_229->layout = CSINN_LAYOUT_NCHW;
  output_229->dim[0] = 1;
  output_229->dim[1] = 512;
  output_229->dim[2] = 12;
  output_229->dim[3] = 20;
  output_229->dim_count = 4;
  output_229->qinfo = (struct csinn_quant_info *)(params_base + 1016824);
  output_229->quant_channel = 1;
  struct csinn_concat_params *params_229 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_229->inputs_count = 4;
  params_229->axis = 1;
  params_229->base.name = "concatenate_/model.9/Concat_175";
  params_229->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_229_concat, output_229, params_229);
  struct csinn_tensor *output_230 = csinn_alloc_tensor(sess);
  output_230->name = "output_230";
  output_230->dtype = CSINN_DTYPE_INT8;
  output_230->layout = CSINN_LAYOUT_NCHW;
  output_230->dim[0] = 1;
  output_230->dim[1] = 256;
  output_230->dim[2] = 12;
  output_230->dim[3] = 20;
  output_230->dim_count = 4;
  output_230->qinfo = (struct csinn_quant_info *)(params_base + 1016848);
  output_230->quant_channel = 1;
  struct csinn_tensor *kernel_230 = csinn_alloc_tensor(sess);
  kernel_230->name = "kernel_230";
  kernel_230->data = params_base + 1016896;
  kernel_230->is_const = 1;
  kernel_230->dtype = CSINN_DTYPE_INT8;
  kernel_230->layout = CSINN_LAYOUT_OIHW;
  kernel_230->dim[0] = 256;
  kernel_230->dim[1] = 512;
  kernel_230->dim[2] = 1;
  kernel_230->dim[3] = 1;
  kernel_230->dim_count = 4;
  kernel_230->qinfo = (struct csinn_quant_info *)(params_base + 1016872);
  kernel_230->quant_channel = 1;
  struct csinn_tensor *bias_230 = csinn_alloc_tensor(sess);
  bias_230->name = "bias_230";
  bias_230->data = params_base + 1147992;
  bias_230->is_const = 1;
  bias_230->dtype = CSINN_DTYPE_INT32;
  bias_230->layout = CSINN_LAYOUT_O;
  bias_230->dim[0] = 256;
  bias_230->dim_count = 1;
  bias_230->qinfo = (struct csinn_quant_info *)(params_base + 1147968);
  bias_230->quant_channel = 1;
  struct csinn_conv2d_params *params_230 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_230->group = 1;
  params_230->stride_height = 1;
  params_230->stride_width = 1;
  params_230->dilation_height = 1;
  params_230->dilation_width = 1;
  params_230->conv_extra.kernel_tm = NULL;
  params_230->conv_extra.conv_mode = CSINN_DIRECT;
  params_230->pad_top = 0;
  params_230->pad_left = 0;
  params_230->pad_down = 0;
  params_230->pad_right = 0;
  params_230->base.name = "conv2d_/model.9/cv2/conv/Conv_PART_0_176_fuse_bias_add_/model.9/cv2/conv/Conv_177";
  params_230->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_229, output_230, kernel_230, bias_230, params_230);
  struct csinn_tensor *output_232 = csinn_alloc_tensor(sess);
  output_232->name = "output_232";
  output_232->dtype = CSINN_DTYPE_INT8;
  output_232->layout = CSINN_LAYOUT_NCHW;
  output_232->dim[0] = 1;
  output_232->dim[1] = 256;
  output_232->dim[2] = 12;
  output_232->dim[3] = 20;
  output_232->dim_count = 4;
  output_232->qinfo = (struct csinn_quant_info *)(params_base + 1149016);
  output_232->quant_channel = 1;
  struct csinn_sigmoid_params *params_232 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_232->base.name = "sigmoid_/model.9/cv2/act/Sigmoid_178";
  params_232->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_230, output_232, params_232);
  struct csinn_tensor *output_233 = csinn_alloc_tensor(sess);
  output_233->name = "output_233";
  output_233->dtype = CSINN_DTYPE_INT8;
  output_233->layout = CSINN_LAYOUT_NCHW;
  output_233->dim[0] = 1;
  output_233->dim[1] = 256;
  output_233->dim[2] = 12;
  output_233->dim[3] = 20;
  output_233->dim_count = 4;
  output_233->qinfo = (struct csinn_quant_info *)(params_base + 1149040);
  output_233->quant_channel = 1;
  struct csinn_relu_params *params_233 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_233->base.name = "relu_179";
  params_233->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_232, output_233, params_233);
  struct csinn_tensor *output_234 = csinn_alloc_tensor(sess);
  output_234->name = "output_234";
  output_234->dtype = CSINN_DTYPE_INT8;
  output_234->layout = CSINN_LAYOUT_NCHW;
  output_234->dim[0] = 1;
  output_234->dim[1] = 256;
  output_234->dim[2] = 12;
  output_234->dim[3] = 20;
  output_234->dim_count = 4;
  output_234->qinfo = (struct csinn_quant_info *)(params_base + 1149064);
  output_234->quant_channel = 1;
  struct csinn_diso_params *params_234 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_234->base.name = "multiply_/model.9/cv2/act/Mul_180";
  params_234->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_230, output_233, output_234, params_234);
  struct csinn_tensor *output_236 = csinn_alloc_tensor(sess);
  output_236->name = "output_236";
  output_236->dtype = CSINN_DTYPE_INT8;
  output_236->layout = CSINN_LAYOUT_NCHW;
  output_236->dim[0] = 1;
  output_236->dim[1] = 128;
  output_236->dim[2] = 12;
  output_236->dim[3] = 20;
  output_236->dim_count = 4;
  output_236->qinfo = (struct csinn_quant_info *)(params_base + 1149088);
  output_236->quant_channel = 1;
  struct csinn_tensor *kernel_236 = csinn_alloc_tensor(sess);
  kernel_236->name = "kernel_236";
  kernel_236->data = params_base + 1149136;
  kernel_236->is_const = 1;
  kernel_236->dtype = CSINN_DTYPE_INT8;
  kernel_236->layout = CSINN_LAYOUT_OIHW;
  kernel_236->dim[0] = 128;
  kernel_236->dim[1] = 256;
  kernel_236->dim[2] = 1;
  kernel_236->dim[3] = 1;
  kernel_236->dim_count = 4;
  kernel_236->qinfo = (struct csinn_quant_info *)(params_base + 1149112);
  kernel_236->quant_channel = 1;
  struct csinn_tensor *bias_236 = csinn_alloc_tensor(sess);
  bias_236->name = "bias_236";
  bias_236->data = params_base + 1181928;
  bias_236->is_const = 1;
  bias_236->dtype = CSINN_DTYPE_INT32;
  bias_236->layout = CSINN_LAYOUT_O;
  bias_236->dim[0] = 128;
  bias_236->dim_count = 1;
  bias_236->qinfo = (struct csinn_quant_info *)(params_base + 1181904);
  bias_236->quant_channel = 1;
  struct csinn_conv2d_params *params_236 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_236->group = 1;
  params_236->stride_height = 1;
  params_236->stride_width = 1;
  params_236->dilation_height = 1;
  params_236->dilation_width = 1;
  params_236->conv_extra.kernel_tm = NULL;
  params_236->conv_extra.conv_mode = CSINN_DIRECT;
  params_236->pad_top = 0;
  params_236->pad_left = 0;
  params_236->pad_down = 0;
  params_236->pad_right = 0;
  params_236->base.name = "conv2d_/model.10/conv/Conv_PART_0_181_fuse_bias_add_/model.10/conv/Conv_182";
  params_236->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_234, output_236, kernel_236, bias_236, params_236);
  struct csinn_tensor *output_238 = csinn_alloc_tensor(sess);
  output_238->name = "output_238";
  output_238->dtype = CSINN_DTYPE_INT8;
  output_238->layout = CSINN_LAYOUT_NCHW;
  output_238->dim[0] = 1;
  output_238->dim[1] = 128;
  output_238->dim[2] = 12;
  output_238->dim[3] = 20;
  output_238->dim_count = 4;
  output_238->qinfo = (struct csinn_quant_info *)(params_base + 1182440);
  output_238->quant_channel = 1;
  struct csinn_sigmoid_params *params_238 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_238->base.name = "sigmoid_/model.10/act/Sigmoid_183";
  params_238->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_236, output_238, params_238);
  struct csinn_tensor *output_239 = csinn_alloc_tensor(sess);
  output_239->name = "output_239";
  output_239->dtype = CSINN_DTYPE_INT8;
  output_239->layout = CSINN_LAYOUT_NCHW;
  output_239->dim[0] = 1;
  output_239->dim[1] = 128;
  output_239->dim[2] = 12;
  output_239->dim[3] = 20;
  output_239->dim_count = 4;
  output_239->qinfo = (struct csinn_quant_info *)(params_base + 1182464);
  output_239->quant_channel = 1;
  struct csinn_relu_params *params_239 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_239->base.name = "relu_184";
  params_239->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_238, output_239, params_239);
  struct csinn_tensor *output_240 = csinn_alloc_tensor(sess);
  output_240->name = "output_240";
  output_240->dtype = CSINN_DTYPE_INT8;
  output_240->layout = CSINN_LAYOUT_NCHW;
  output_240->dim[0] = 1;
  output_240->dim[1] = 128;
  output_240->dim[2] = 12;
  output_240->dim[3] = 20;
  output_240->dim_count = 4;
  output_240->qinfo = (struct csinn_quant_info *)(params_base + 1182488);
  output_240->quant_channel = 1;
  struct csinn_diso_params *params_240 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_240->base.name = "multiply_/model.10/act/Mul_185";
  params_240->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_236, output_239, output_240, params_240);
  struct csinn_tensor *output_242 = csinn_alloc_tensor(sess);
  output_242->name = "output_242";
  output_242->dtype = CSINN_DTYPE_INT8;
  output_242->layout = CSINN_LAYOUT_NCHW;
  output_242->dim[0] = 1;
  output_242->dim[1] = 128;
  output_242->dim[2] = 24;
  output_242->dim[3] = 40;
  output_242->dim_count = 4;
  output_242->qinfo = (struct csinn_quant_info *)(params_base + 1182512);
  output_242->quant_channel = 1;
  struct csinn_resize_params *params_242 = csinn_alloc_params(sizeof(struct csinn_resize_params), sess);
  params_242->resize_mode = CSINN_RESIZE_NEAREST_NEIGHBOR;
  params_242->align_corners = 0;
  params_242->base.name = "resize2d_/model.11/Resize_186";
  params_242->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_resize_init(output_240, output_242, params_242);
  struct csinn_tensor *output_244 = csinn_alloc_tensor(sess);
  output_244->name = "output_244";
  output_244->dtype = CSINN_DTYPE_INT8;
  output_244->layout = CSINN_LAYOUT_NCHW;
  output_244->dim[0] = 1;
  output_244->dim[1] = 128;
  output_244->dim[2] = 24;
  output_244->dim[3] = 40;
  output_244->dim_count = 4;
  output_244->qinfo = (struct csinn_quant_info *)(params_base + 1182536);
  output_244->quant_channel = 1;
  struct csinn_tensor *rhs_244 = csinn_alloc_tensor(sess);
  rhs_244->name = "rhs_244";
  rhs_244->data = params_base + 1182584;
  rhs_244->is_const = 1;
  rhs_244->dtype = CSINN_DTYPE_INT8;
  rhs_244->layout = CSINN_LAYOUT_OIHW;
  rhs_244->dim[0] = 1;
  rhs_244->dim[1] = 128;
  rhs_244->dim[2] = 24;
  rhs_244->dim[3] = 40;
  rhs_244->dim_count = 4;
  rhs_244->qinfo = (struct csinn_quant_info *)(params_base + 1182560);
  rhs_244->quant_channel = 1;
  struct csinn_diso_params *params_244 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_244->base.name = "mul_319";
  params_244->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_242, rhs_244, output_244, params_244);
  struct csinn_tensor *input_246_concat[2];
  struct csinn_tensor *output_246 = csinn_alloc_tensor(sess);
  output_246->name = "output_246";
  output_246->dtype = CSINN_DTYPE_INT8;
  output_246->layout = CSINN_LAYOUT_NCHW;
  output_246->dim[0] = 1;
  output_246->dim[1] = 256;
  output_246->dim[2] = 24;
  output_246->dim[3] = 40;
  output_246->dim_count = 4;
  output_246->qinfo = (struct csinn_quant_info *)(params_base + 1305464);
  output_246->quant_channel = 1;
  struct csinn_concat_params *params_246 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_246->inputs_count = 2;
  params_246->axis = 1;
  params_246->base.name = "concatenate_/model.12/Concat_187";
  params_246->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_246_concat, output_246, params_246);
  struct csinn_tensor *output_247 = csinn_alloc_tensor(sess);
  output_247->name = "output_247";
  output_247->dtype = CSINN_DTYPE_INT8;
  output_247->layout = CSINN_LAYOUT_NCHW;
  output_247->dim[0] = 1;
  output_247->dim[1] = 64;
  output_247->dim[2] = 24;
  output_247->dim[3] = 40;
  output_247->dim_count = 4;
  output_247->qinfo = (struct csinn_quant_info *)(params_base + 1305488);
  output_247->quant_channel = 1;
  struct csinn_tensor *kernel_247 = csinn_alloc_tensor(sess);
  kernel_247->name = "kernel_247";
  kernel_247->data = params_base + 1305536;
  kernel_247->is_const = 1;
  kernel_247->dtype = CSINN_DTYPE_INT8;
  kernel_247->layout = CSINN_LAYOUT_OIHW;
  kernel_247->dim[0] = 64;
  kernel_247->dim[1] = 256;
  kernel_247->dim[2] = 1;
  kernel_247->dim[3] = 1;
  kernel_247->dim_count = 4;
  kernel_247->qinfo = (struct csinn_quant_info *)(params_base + 1305512);
  kernel_247->quant_channel = 1;
  struct csinn_tensor *bias_247 = csinn_alloc_tensor(sess);
  bias_247->name = "bias_247";
  bias_247->data = params_base + 1321944;
  bias_247->is_const = 1;
  bias_247->dtype = CSINN_DTYPE_INT32;
  bias_247->layout = CSINN_LAYOUT_O;
  bias_247->dim[0] = 64;
  bias_247->dim_count = 1;
  bias_247->qinfo = (struct csinn_quant_info *)(params_base + 1321920);
  bias_247->quant_channel = 1;
  struct csinn_conv2d_params *params_247 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_247->group = 1;
  params_247->stride_height = 1;
  params_247->stride_width = 1;
  params_247->dilation_height = 1;
  params_247->dilation_width = 1;
  params_247->conv_extra.kernel_tm = NULL;
  params_247->conv_extra.conv_mode = CSINN_DIRECT;
  params_247->pad_top = 0;
  params_247->pad_left = 0;
  params_247->pad_down = 0;
  params_247->pad_right = 0;
  params_247->base.name = "conv2d_/model.13/cv1/conv/Conv_PART_0_188_fuse_bias_add_/model.13/cv1/conv/Conv_189";
  params_247->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_246, output_247, kernel_247, bias_247, params_247);
  struct csinn_tensor *output_249 = csinn_alloc_tensor(sess);
  output_249->name = "output_249";
  output_249->dtype = CSINN_DTYPE_INT8;
  output_249->layout = CSINN_LAYOUT_NCHW;
  output_249->dim[0] = 1;
  output_249->dim[1] = 64;
  output_249->dim[2] = 24;
  output_249->dim[3] = 40;
  output_249->dim_count = 4;
  output_249->qinfo = (struct csinn_quant_info *)(params_base + 1322200);
  output_249->quant_channel = 1;
  struct csinn_sigmoid_params *params_249 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_249->base.name = "sigmoid_/model.13/cv1/act/Sigmoid_190";
  params_249->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_247, output_249, params_249);
  struct csinn_tensor *output_250 = csinn_alloc_tensor(sess);
  output_250->name = "output_250";
  output_250->dtype = CSINN_DTYPE_INT8;
  output_250->layout = CSINN_LAYOUT_NCHW;
  output_250->dim[0] = 1;
  output_250->dim[1] = 64;
  output_250->dim[2] = 24;
  output_250->dim[3] = 40;
  output_250->dim_count = 4;
  output_250->qinfo = (struct csinn_quant_info *)(params_base + 1322224);
  output_250->quant_channel = 1;
  struct csinn_relu_params *params_250 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_250->base.name = "relu_191";
  params_250->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_249, output_250, params_250);
  struct csinn_tensor *output_251 = csinn_alloc_tensor(sess);
  output_251->name = "output_251";
  output_251->dtype = CSINN_DTYPE_INT8;
  output_251->layout = CSINN_LAYOUT_NCHW;
  output_251->dim[0] = 1;
  output_251->dim[1] = 64;
  output_251->dim[2] = 24;
  output_251->dim[3] = 40;
  output_251->dim_count = 4;
  output_251->qinfo = (struct csinn_quant_info *)(params_base + 1322248);
  output_251->quant_channel = 1;
  struct csinn_diso_params *params_251 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_251->base.name = "multiply_/model.13/cv1/act/Mul_192";
  params_251->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_247, output_250, output_251, params_251);
  struct csinn_tensor *output_253 = csinn_alloc_tensor(sess);
  output_253->name = "output_253";
  output_253->dtype = CSINN_DTYPE_INT8;
  output_253->layout = CSINN_LAYOUT_NCHW;
  output_253->dim[0] = 1;
  output_253->dim[1] = 64;
  output_253->dim[2] = 24;
  output_253->dim[3] = 40;
  output_253->dim_count = 4;
  output_253->qinfo = (struct csinn_quant_info *)(params_base + 1322272);
  output_253->quant_channel = 1;
  struct csinn_tensor *kernel_253 = csinn_alloc_tensor(sess);
  kernel_253->name = "kernel_253";
  kernel_253->data = params_base + 1322320;
  kernel_253->is_const = 1;
  kernel_253->dtype = CSINN_DTYPE_INT8;
  kernel_253->layout = CSINN_LAYOUT_OIHW;
  kernel_253->dim[0] = 64;
  kernel_253->dim[1] = 64;
  kernel_253->dim[2] = 1;
  kernel_253->dim[3] = 1;
  kernel_253->dim_count = 4;
  kernel_253->qinfo = (struct csinn_quant_info *)(params_base + 1322296);
  kernel_253->quant_channel = 1;
  struct csinn_tensor *bias_253 = csinn_alloc_tensor(sess);
  bias_253->name = "bias_253";
  bias_253->data = params_base + 1326440;
  bias_253->is_const = 1;
  bias_253->dtype = CSINN_DTYPE_INT32;
  bias_253->layout = CSINN_LAYOUT_O;
  bias_253->dim[0] = 64;
  bias_253->dim_count = 1;
  bias_253->qinfo = (struct csinn_quant_info *)(params_base + 1326416);
  bias_253->quant_channel = 1;
  struct csinn_conv2d_params *params_253 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_253->group = 1;
  params_253->stride_height = 1;
  params_253->stride_width = 1;
  params_253->dilation_height = 1;
  params_253->dilation_width = 1;
  params_253->conv_extra.kernel_tm = NULL;
  params_253->conv_extra.conv_mode = CSINN_DIRECT;
  params_253->pad_top = 0;
  params_253->pad_left = 0;
  params_253->pad_down = 0;
  params_253->pad_right = 0;
  params_253->base.name = "conv2d_/model.13/m/m.0/cv1/conv/Conv_PART_0_193_fuse_bias_add_/model.13/m/m.0/cv1/conv/Conv_194";
  params_253->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_251, output_253, kernel_253, bias_253, params_253);
  struct csinn_tensor *output_255 = csinn_alloc_tensor(sess);
  output_255->name = "output_255";
  output_255->dtype = CSINN_DTYPE_INT8;
  output_255->layout = CSINN_LAYOUT_NCHW;
  output_255->dim[0] = 1;
  output_255->dim[1] = 64;
  output_255->dim[2] = 24;
  output_255->dim[3] = 40;
  output_255->dim_count = 4;
  output_255->qinfo = (struct csinn_quant_info *)(params_base + 1326696);
  output_255->quant_channel = 1;
  struct csinn_sigmoid_params *params_255 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_255->base.name = "sigmoid_/model.13/m/m.0/cv1/act/Sigmoid_195";
  params_255->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_253, output_255, params_255);
  struct csinn_tensor *output_256 = csinn_alloc_tensor(sess);
  output_256->name = "output_256";
  output_256->dtype = CSINN_DTYPE_INT8;
  output_256->layout = CSINN_LAYOUT_NCHW;
  output_256->dim[0] = 1;
  output_256->dim[1] = 64;
  output_256->dim[2] = 24;
  output_256->dim[3] = 40;
  output_256->dim_count = 4;
  output_256->qinfo = (struct csinn_quant_info *)(params_base + 1326720);
  output_256->quant_channel = 1;
  struct csinn_relu_params *params_256 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_256->base.name = "relu_196";
  params_256->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_255, output_256, params_256);
  struct csinn_tensor *output_257 = csinn_alloc_tensor(sess);
  output_257->name = "output_257";
  output_257->dtype = CSINN_DTYPE_INT8;
  output_257->layout = CSINN_LAYOUT_NCHW;
  output_257->dim[0] = 1;
  output_257->dim[1] = 64;
  output_257->dim[2] = 24;
  output_257->dim[3] = 40;
  output_257->dim_count = 4;
  output_257->qinfo = (struct csinn_quant_info *)(params_base + 1326744);
  output_257->quant_channel = 1;
  struct csinn_diso_params *params_257 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_257->base.name = "multiply_/model.13/m/m.0/cv1/act/Mul_197";
  params_257->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_253, output_256, output_257, params_257);
  struct csinn_tensor *output_259 = csinn_alloc_tensor(sess);
  output_259->name = "output_259";
  output_259->dtype = CSINN_DTYPE_INT8;
  output_259->layout = CSINN_LAYOUT_NCHW;
  output_259->dim[0] = 1;
  output_259->dim[1] = 64;
  output_259->dim[2] = 24;
  output_259->dim[3] = 40;
  output_259->dim_count = 4;
  output_259->qinfo = (struct csinn_quant_info *)(params_base + 1326768);
  output_259->quant_channel = 1;
  struct csinn_tensor *kernel_259 = csinn_alloc_tensor(sess);
  kernel_259->name = "kernel_259";
  kernel_259->data = params_base + 1326816;
  kernel_259->is_const = 1;
  kernel_259->dtype = CSINN_DTYPE_INT8;
  kernel_259->layout = CSINN_LAYOUT_OIHW;
  kernel_259->dim[0] = 64;
  kernel_259->dim[1] = 64;
  kernel_259->dim[2] = 3;
  kernel_259->dim[3] = 3;
  kernel_259->dim_count = 4;
  kernel_259->qinfo = (struct csinn_quant_info *)(params_base + 1326792);
  kernel_259->quant_channel = 1;
  struct csinn_tensor *bias_259 = csinn_alloc_tensor(sess);
  bias_259->name = "bias_259";
  bias_259->data = params_base + 1363704;
  bias_259->is_const = 1;
  bias_259->dtype = CSINN_DTYPE_INT32;
  bias_259->layout = CSINN_LAYOUT_O;
  bias_259->dim[0] = 64;
  bias_259->dim_count = 1;
  bias_259->qinfo = (struct csinn_quant_info *)(params_base + 1363680);
  bias_259->quant_channel = 1;
  struct csinn_conv2d_params *params_259 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_259->group = 1;
  params_259->stride_height = 1;
  params_259->stride_width = 1;
  params_259->dilation_height = 1;
  params_259->dilation_width = 1;
  params_259->conv_extra.kernel_tm = NULL;
  params_259->conv_extra.conv_mode = CSINN_DIRECT;
  params_259->pad_top = 1;
  params_259->pad_left = 1;
  params_259->pad_down = 1;
  params_259->pad_right = 1;
  params_259->base.name = "conv2d_/model.13/m/m.0/cv2/conv/Conv_PART_0_198_fuse_bias_add_/model.13/m/m.0/cv2/conv/Conv_199";
  params_259->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_257, output_259, kernel_259, bias_259, params_259);
  struct csinn_tensor *output_261 = csinn_alloc_tensor(sess);
  output_261->name = "output_261";
  output_261->dtype = CSINN_DTYPE_INT8;
  output_261->layout = CSINN_LAYOUT_NCHW;
  output_261->dim[0] = 1;
  output_261->dim[1] = 64;
  output_261->dim[2] = 24;
  output_261->dim[3] = 40;
  output_261->dim_count = 4;
  output_261->qinfo = (struct csinn_quant_info *)(params_base + 1363960);
  output_261->quant_channel = 1;
  struct csinn_sigmoid_params *params_261 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_261->base.name = "sigmoid_/model.13/m/m.0/cv2/act/Sigmoid_200";
  params_261->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_259, output_261, params_261);
  struct csinn_tensor *output_262 = csinn_alloc_tensor(sess);
  output_262->name = "output_262";
  output_262->dtype = CSINN_DTYPE_INT8;
  output_262->layout = CSINN_LAYOUT_NCHW;
  output_262->dim[0] = 1;
  output_262->dim[1] = 64;
  output_262->dim[2] = 24;
  output_262->dim[3] = 40;
  output_262->dim_count = 4;
  output_262->qinfo = (struct csinn_quant_info *)(params_base + 1363984);
  output_262->quant_channel = 1;
  struct csinn_relu_params *params_262 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_262->base.name = "relu_201";
  params_262->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_261, output_262, params_262);
  struct csinn_tensor *output_263 = csinn_alloc_tensor(sess);
  output_263->name = "output_263";
  output_263->dtype = CSINN_DTYPE_INT8;
  output_263->layout = CSINN_LAYOUT_NCHW;
  output_263->dim[0] = 1;
  output_263->dim[1] = 64;
  output_263->dim[2] = 24;
  output_263->dim[3] = 40;
  output_263->dim_count = 4;
  output_263->qinfo = (struct csinn_quant_info *)(params_base + 1364008);
  output_263->quant_channel = 1;
  struct csinn_diso_params *params_263 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_263->base.name = "multiply_/model.13/m/m.0/cv2/act/Mul_202";
  params_263->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_259, output_262, output_263, params_263);
  struct csinn_tensor *output_265 = csinn_alloc_tensor(sess);
  output_265->name = "output_265";
  output_265->dtype = CSINN_DTYPE_INT8;
  output_265->layout = CSINN_LAYOUT_NCHW;
  output_265->dim[0] = 1;
  output_265->dim[1] = 64;
  output_265->dim[2] = 24;
  output_265->dim[3] = 40;
  output_265->dim_count = 4;
  output_265->qinfo = (struct csinn_quant_info *)(params_base + 1364032);
  output_265->quant_channel = 1;
  struct csinn_tensor *kernel_265 = csinn_alloc_tensor(sess);
  kernel_265->name = "kernel_265";
  kernel_265->data = params_base + 1364080;
  kernel_265->is_const = 1;
  kernel_265->dtype = CSINN_DTYPE_INT8;
  kernel_265->layout = CSINN_LAYOUT_OIHW;
  kernel_265->dim[0] = 64;
  kernel_265->dim[1] = 256;
  kernel_265->dim[2] = 1;
  kernel_265->dim[3] = 1;
  kernel_265->dim_count = 4;
  kernel_265->qinfo = (struct csinn_quant_info *)(params_base + 1364056);
  kernel_265->quant_channel = 1;
  struct csinn_tensor *bias_265 = csinn_alloc_tensor(sess);
  bias_265->name = "bias_265";
  bias_265->data = params_base + 1380488;
  bias_265->is_const = 1;
  bias_265->dtype = CSINN_DTYPE_INT32;
  bias_265->layout = CSINN_LAYOUT_O;
  bias_265->dim[0] = 64;
  bias_265->dim_count = 1;
  bias_265->qinfo = (struct csinn_quant_info *)(params_base + 1380464);
  bias_265->quant_channel = 1;
  struct csinn_conv2d_params *params_265 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_265->group = 1;
  params_265->stride_height = 1;
  params_265->stride_width = 1;
  params_265->dilation_height = 1;
  params_265->dilation_width = 1;
  params_265->conv_extra.kernel_tm = NULL;
  params_265->conv_extra.conv_mode = CSINN_DIRECT;
  params_265->pad_top = 0;
  params_265->pad_left = 0;
  params_265->pad_down = 0;
  params_265->pad_right = 0;
  params_265->base.name = "conv2d_/model.13/cv2/conv/Conv_PART_0_203_fuse_bias_add_/model.13/cv2/conv/Conv_204";
  params_265->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_246, output_265, kernel_265, bias_265, params_265);
  struct csinn_tensor *output_267 = csinn_alloc_tensor(sess);
  output_267->name = "output_267";
  output_267->dtype = CSINN_DTYPE_INT8;
  output_267->layout = CSINN_LAYOUT_NCHW;
  output_267->dim[0] = 1;
  output_267->dim[1] = 64;
  output_267->dim[2] = 24;
  output_267->dim[3] = 40;
  output_267->dim_count = 4;
  output_267->qinfo = (struct csinn_quant_info *)(params_base + 1380744);
  output_267->quant_channel = 1;
  struct csinn_sigmoid_params *params_267 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_267->base.name = "sigmoid_/model.13/cv2/act/Sigmoid_205";
  params_267->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_265, output_267, params_267);
  struct csinn_tensor *output_268 = csinn_alloc_tensor(sess);
  output_268->name = "output_268";
  output_268->dtype = CSINN_DTYPE_INT8;
  output_268->layout = CSINN_LAYOUT_NCHW;
  output_268->dim[0] = 1;
  output_268->dim[1] = 64;
  output_268->dim[2] = 24;
  output_268->dim[3] = 40;
  output_268->dim_count = 4;
  output_268->qinfo = (struct csinn_quant_info *)(params_base + 1380768);
  output_268->quant_channel = 1;
  struct csinn_relu_params *params_268 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_268->base.name = "relu_206";
  params_268->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_267, output_268, params_268);
  struct csinn_tensor *output_269 = csinn_alloc_tensor(sess);
  output_269->name = "output_269";
  output_269->dtype = CSINN_DTYPE_INT8;
  output_269->layout = CSINN_LAYOUT_NCHW;
  output_269->dim[0] = 1;
  output_269->dim[1] = 64;
  output_269->dim[2] = 24;
  output_269->dim[3] = 40;
  output_269->dim_count = 4;
  output_269->qinfo = (struct csinn_quant_info *)(params_base + 1380792);
  output_269->quant_channel = 1;
  struct csinn_diso_params *params_269 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_269->base.name = "multiply_/model.13/cv2/act/Mul_207";
  params_269->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_265, output_268, output_269, params_269);
  struct csinn_tensor *input_271_concat[2];
  struct csinn_tensor *output_271 = csinn_alloc_tensor(sess);
  output_271->name = "output_271";
  output_271->dtype = CSINN_DTYPE_INT8;
  output_271->layout = CSINN_LAYOUT_NCHW;
  output_271->dim[0] = 1;
  output_271->dim[1] = 128;
  output_271->dim[2] = 24;
  output_271->dim[3] = 40;
  output_271->dim_count = 4;
  output_271->qinfo = (struct csinn_quant_info *)(params_base + 1380816);
  output_271->quant_channel = 1;
  struct csinn_concat_params *params_271 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_271->inputs_count = 2;
  params_271->axis = 1;
  params_271->base.name = "concatenate_/model.13/Concat_208";
  params_271->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_271_concat, output_271, params_271);
  struct csinn_tensor *output_272 = csinn_alloc_tensor(sess);
  output_272->name = "output_272";
  output_272->dtype = CSINN_DTYPE_INT8;
  output_272->layout = CSINN_LAYOUT_NCHW;
  output_272->dim[0] = 1;
  output_272->dim[1] = 128;
  output_272->dim[2] = 24;
  output_272->dim[3] = 40;
  output_272->dim_count = 4;
  output_272->qinfo = (struct csinn_quant_info *)(params_base + 1380840);
  output_272->quant_channel = 1;
  struct csinn_tensor *kernel_272 = csinn_alloc_tensor(sess);
  kernel_272->name = "kernel_272";
  kernel_272->data = params_base + 1380888;
  kernel_272->is_const = 1;
  kernel_272->dtype = CSINN_DTYPE_INT8;
  kernel_272->layout = CSINN_LAYOUT_OIHW;
  kernel_272->dim[0] = 128;
  kernel_272->dim[1] = 128;
  kernel_272->dim[2] = 1;
  kernel_272->dim[3] = 1;
  kernel_272->dim_count = 4;
  kernel_272->qinfo = (struct csinn_quant_info *)(params_base + 1380864);
  kernel_272->quant_channel = 1;
  struct csinn_tensor *bias_272 = csinn_alloc_tensor(sess);
  bias_272->name = "bias_272";
  bias_272->data = params_base + 1397296;
  bias_272->is_const = 1;
  bias_272->dtype = CSINN_DTYPE_INT32;
  bias_272->layout = CSINN_LAYOUT_O;
  bias_272->dim[0] = 128;
  bias_272->dim_count = 1;
  bias_272->qinfo = (struct csinn_quant_info *)(params_base + 1397272);
  bias_272->quant_channel = 1;
  struct csinn_conv2d_params *params_272 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_272->group = 1;
  params_272->stride_height = 1;
  params_272->stride_width = 1;
  params_272->dilation_height = 1;
  params_272->dilation_width = 1;
  params_272->conv_extra.kernel_tm = NULL;
  params_272->conv_extra.conv_mode = CSINN_DIRECT;
  params_272->pad_top = 0;
  params_272->pad_left = 0;
  params_272->pad_down = 0;
  params_272->pad_right = 0;
  params_272->base.name = "conv2d_/model.13/cv3/conv/Conv_PART_0_209_fuse_bias_add_/model.13/cv3/conv/Conv_210";
  params_272->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_271, output_272, kernel_272, bias_272, params_272);
  struct csinn_tensor *output_274 = csinn_alloc_tensor(sess);
  output_274->name = "output_274";
  output_274->dtype = CSINN_DTYPE_INT8;
  output_274->layout = CSINN_LAYOUT_NCHW;
  output_274->dim[0] = 1;
  output_274->dim[1] = 128;
  output_274->dim[2] = 24;
  output_274->dim[3] = 40;
  output_274->dim_count = 4;
  output_274->qinfo = (struct csinn_quant_info *)(params_base + 1397808);
  output_274->quant_channel = 1;
  struct csinn_sigmoid_params *params_274 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_274->base.name = "sigmoid_/model.13/cv3/act/Sigmoid_211";
  params_274->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_272, output_274, params_274);
  struct csinn_tensor *output_275 = csinn_alloc_tensor(sess);
  output_275->name = "output_275";
  output_275->dtype = CSINN_DTYPE_INT8;
  output_275->layout = CSINN_LAYOUT_NCHW;
  output_275->dim[0] = 1;
  output_275->dim[1] = 128;
  output_275->dim[2] = 24;
  output_275->dim[3] = 40;
  output_275->dim_count = 4;
  output_275->qinfo = (struct csinn_quant_info *)(params_base + 1397832);
  output_275->quant_channel = 1;
  struct csinn_relu_params *params_275 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_275->base.name = "relu_212";
  params_275->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_274, output_275, params_275);
  struct csinn_tensor *output_276 = csinn_alloc_tensor(sess);
  output_276->name = "output_276";
  output_276->dtype = CSINN_DTYPE_INT8;
  output_276->layout = CSINN_LAYOUT_NCHW;
  output_276->dim[0] = 1;
  output_276->dim[1] = 128;
  output_276->dim[2] = 24;
  output_276->dim[3] = 40;
  output_276->dim_count = 4;
  output_276->qinfo = (struct csinn_quant_info *)(params_base + 1397856);
  output_276->quant_channel = 1;
  struct csinn_diso_params *params_276 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_276->base.name = "multiply_/model.13/cv3/act/Mul_213";
  params_276->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_272, output_275, output_276, params_276);
  struct csinn_tensor *output_278 = csinn_alloc_tensor(sess);
  output_278->name = "output_278";
  output_278->dtype = CSINN_DTYPE_INT8;
  output_278->layout = CSINN_LAYOUT_NCHW;
  output_278->dim[0] = 1;
  output_278->dim[1] = 64;
  output_278->dim[2] = 24;
  output_278->dim[3] = 40;
  output_278->dim_count = 4;
  output_278->qinfo = (struct csinn_quant_info *)(params_base + 1397880);
  output_278->quant_channel = 1;
  struct csinn_tensor *kernel_278 = csinn_alloc_tensor(sess);
  kernel_278->name = "kernel_278";
  kernel_278->data = params_base + 1397928;
  kernel_278->is_const = 1;
  kernel_278->dtype = CSINN_DTYPE_INT8;
  kernel_278->layout = CSINN_LAYOUT_OIHW;
  kernel_278->dim[0] = 64;
  kernel_278->dim[1] = 128;
  kernel_278->dim[2] = 1;
  kernel_278->dim[3] = 1;
  kernel_278->dim_count = 4;
  kernel_278->qinfo = (struct csinn_quant_info *)(params_base + 1397904);
  kernel_278->quant_channel = 1;
  struct csinn_tensor *bias_278 = csinn_alloc_tensor(sess);
  bias_278->name = "bias_278";
  bias_278->data = params_base + 1406144;
  bias_278->is_const = 1;
  bias_278->dtype = CSINN_DTYPE_INT32;
  bias_278->layout = CSINN_LAYOUT_O;
  bias_278->dim[0] = 64;
  bias_278->dim_count = 1;
  bias_278->qinfo = (struct csinn_quant_info *)(params_base + 1406120);
  bias_278->quant_channel = 1;
  struct csinn_conv2d_params *params_278 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_278->group = 1;
  params_278->stride_height = 1;
  params_278->stride_width = 1;
  params_278->dilation_height = 1;
  params_278->dilation_width = 1;
  params_278->conv_extra.kernel_tm = NULL;
  params_278->conv_extra.conv_mode = CSINN_DIRECT;
  params_278->pad_top = 0;
  params_278->pad_left = 0;
  params_278->pad_down = 0;
  params_278->pad_right = 0;
  params_278->base.name = "conv2d_/model.14/conv/Conv_PART_0_214_fuse_bias_add_/model.14/conv/Conv_215";
  params_278->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_276, output_278, kernel_278, bias_278, params_278);
  struct csinn_tensor *output_280 = csinn_alloc_tensor(sess);
  output_280->name = "output_280";
  output_280->dtype = CSINN_DTYPE_INT8;
  output_280->layout = CSINN_LAYOUT_NCHW;
  output_280->dim[0] = 1;
  output_280->dim[1] = 64;
  output_280->dim[2] = 24;
  output_280->dim[3] = 40;
  output_280->dim_count = 4;
  output_280->qinfo = (struct csinn_quant_info *)(params_base + 1406400);
  output_280->quant_channel = 1;
  struct csinn_sigmoid_params *params_280 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_280->base.name = "sigmoid_/model.14/act/Sigmoid_216";
  params_280->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_278, output_280, params_280);
  struct csinn_tensor *output_281 = csinn_alloc_tensor(sess);
  output_281->name = "output_281";
  output_281->dtype = CSINN_DTYPE_INT8;
  output_281->layout = CSINN_LAYOUT_NCHW;
  output_281->dim[0] = 1;
  output_281->dim[1] = 64;
  output_281->dim[2] = 24;
  output_281->dim[3] = 40;
  output_281->dim_count = 4;
  output_281->qinfo = (struct csinn_quant_info *)(params_base + 1406424);
  output_281->quant_channel = 1;
  struct csinn_relu_params *params_281 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_281->base.name = "relu_217";
  params_281->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_280, output_281, params_281);
  struct csinn_tensor *output_282 = csinn_alloc_tensor(sess);
  output_282->name = "output_282";
  output_282->dtype = CSINN_DTYPE_INT8;
  output_282->layout = CSINN_LAYOUT_NCHW;
  output_282->dim[0] = 1;
  output_282->dim[1] = 64;
  output_282->dim[2] = 24;
  output_282->dim[3] = 40;
  output_282->dim_count = 4;
  output_282->qinfo = (struct csinn_quant_info *)(params_base + 1406448);
  output_282->quant_channel = 1;
  struct csinn_diso_params *params_282 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_282->base.name = "multiply_/model.14/act/Mul_218";
  params_282->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_278, output_281, output_282, params_282);
  struct csinn_tensor *output_284 = csinn_alloc_tensor(sess);
  output_284->name = "output_284";
  output_284->dtype = CSINN_DTYPE_INT8;
  output_284->layout = CSINN_LAYOUT_NCHW;
  output_284->dim[0] = 1;
  output_284->dim[1] = 64;
  output_284->dim[2] = 48;
  output_284->dim[3] = 80;
  output_284->dim_count = 4;
  output_284->qinfo = (struct csinn_quant_info *)(params_base + 1406472);
  output_284->quant_channel = 1;
  struct csinn_resize_params *params_284 = csinn_alloc_params(sizeof(struct csinn_resize_params), sess);
  params_284->resize_mode = CSINN_RESIZE_NEAREST_NEIGHBOR;
  params_284->align_corners = 0;
  params_284->base.name = "resize2d_/model.15/Resize_219";
  params_284->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_resize_init(output_282, output_284, params_284);
  struct csinn_tensor *output_286 = csinn_alloc_tensor(sess);
  output_286->name = "output_286";
  output_286->dtype = CSINN_DTYPE_INT8;
  output_286->layout = CSINN_LAYOUT_NCHW;
  output_286->dim[0] = 1;
  output_286->dim[1] = 64;
  output_286->dim[2] = 48;
  output_286->dim[3] = 80;
  output_286->dim_count = 4;
  output_286->qinfo = (struct csinn_quant_info *)(params_base + 1406496);
  output_286->quant_channel = 1;
  struct csinn_tensor *rhs_286 = csinn_alloc_tensor(sess);
  rhs_286->name = "rhs_286";
  rhs_286->data = params_base + 1406544;
  rhs_286->is_const = 1;
  rhs_286->dtype = CSINN_DTYPE_INT8;
  rhs_286->layout = CSINN_LAYOUT_OIHW;
  rhs_286->dim[0] = 1;
  rhs_286->dim[1] = 64;
  rhs_286->dim[2] = 48;
  rhs_286->dim[3] = 80;
  rhs_286->dim_count = 4;
  rhs_286->qinfo = (struct csinn_quant_info *)(params_base + 1406520);
  rhs_286->quant_channel = 1;
  struct csinn_diso_params *params_286 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_286->base.name = "mul_320";
  params_286->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_284, rhs_286, output_286, params_286);
  struct csinn_tensor *input_288_concat[2];
  struct csinn_tensor *output_288 = csinn_alloc_tensor(sess);
  output_288->name = "output_288";
  output_288->dtype = CSINN_DTYPE_INT8;
  output_288->layout = CSINN_LAYOUT_NCHW;
  output_288->dim[0] = 1;
  output_288->dim[1] = 128;
  output_288->dim[2] = 48;
  output_288->dim[3] = 80;
  output_288->dim_count = 4;
  output_288->qinfo = (struct csinn_quant_info *)(params_base + 1652304);
  output_288->quant_channel = 1;
  struct csinn_concat_params *params_288 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_288->inputs_count = 2;
  params_288->axis = 1;
  params_288->base.name = "concatenate_/model.16/Concat_220";
  params_288->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_288_concat, output_288, params_288);
  struct csinn_tensor *output_289 = csinn_alloc_tensor(sess);
  output_289->name = "output_289";
  output_289->dtype = CSINN_DTYPE_INT8;
  output_289->layout = CSINN_LAYOUT_NCHW;
  output_289->dim[0] = 1;
  output_289->dim[1] = 32;
  output_289->dim[2] = 48;
  output_289->dim[3] = 80;
  output_289->dim_count = 4;
  output_289->qinfo = (struct csinn_quant_info *)(params_base + 1652328);
  output_289->quant_channel = 1;
  struct csinn_tensor *kernel_289 = csinn_alloc_tensor(sess);
  kernel_289->name = "kernel_289";
  kernel_289->data = params_base + 1652376;
  kernel_289->is_const = 1;
  kernel_289->dtype = CSINN_DTYPE_INT8;
  kernel_289->layout = CSINN_LAYOUT_OIHW;
  kernel_289->dim[0] = 32;
  kernel_289->dim[1] = 128;
  kernel_289->dim[2] = 1;
  kernel_289->dim[3] = 1;
  kernel_289->dim_count = 4;
  kernel_289->qinfo = (struct csinn_quant_info *)(params_base + 1652352);
  kernel_289->quant_channel = 1;
  struct csinn_tensor *bias_289 = csinn_alloc_tensor(sess);
  bias_289->name = "bias_289";
  bias_289->data = params_base + 1656496;
  bias_289->is_const = 1;
  bias_289->dtype = CSINN_DTYPE_INT32;
  bias_289->layout = CSINN_LAYOUT_O;
  bias_289->dim[0] = 32;
  bias_289->dim_count = 1;
  bias_289->qinfo = (struct csinn_quant_info *)(params_base + 1656472);
  bias_289->quant_channel = 1;
  struct csinn_conv2d_params *params_289 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_289->group = 1;
  params_289->stride_height = 1;
  params_289->stride_width = 1;
  params_289->dilation_height = 1;
  params_289->dilation_width = 1;
  params_289->conv_extra.kernel_tm = NULL;
  params_289->conv_extra.conv_mode = CSINN_DIRECT;
  params_289->pad_top = 0;
  params_289->pad_left = 0;
  params_289->pad_down = 0;
  params_289->pad_right = 0;
  params_289->base.name = "conv2d_/model.17/cv1/conv/Conv_PART_0_221_fuse_bias_add_/model.17/cv1/conv/Conv_222";
  params_289->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_288, output_289, kernel_289, bias_289, params_289);
  struct csinn_tensor *output_291 = csinn_alloc_tensor(sess);
  output_291->name = "output_291";
  output_291->dtype = CSINN_DTYPE_INT8;
  output_291->layout = CSINN_LAYOUT_NCHW;
  output_291->dim[0] = 1;
  output_291->dim[1] = 32;
  output_291->dim[2] = 48;
  output_291->dim[3] = 80;
  output_291->dim_count = 4;
  output_291->qinfo = (struct csinn_quant_info *)(params_base + 1656624);
  output_291->quant_channel = 1;
  struct csinn_sigmoid_params *params_291 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_291->base.name = "sigmoid_/model.17/cv1/act/Sigmoid_223";
  params_291->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_289, output_291, params_291);
  struct csinn_tensor *output_292 = csinn_alloc_tensor(sess);
  output_292->name = "output_292";
  output_292->dtype = CSINN_DTYPE_INT8;
  output_292->layout = CSINN_LAYOUT_NCHW;
  output_292->dim[0] = 1;
  output_292->dim[1] = 32;
  output_292->dim[2] = 48;
  output_292->dim[3] = 80;
  output_292->dim_count = 4;
  output_292->qinfo = (struct csinn_quant_info *)(params_base + 1656648);
  output_292->quant_channel = 1;
  struct csinn_relu_params *params_292 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_292->base.name = "relu_224";
  params_292->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_291, output_292, params_292);
  struct csinn_tensor *output_293 = csinn_alloc_tensor(sess);
  output_293->name = "output_293";
  output_293->dtype = CSINN_DTYPE_INT8;
  output_293->layout = CSINN_LAYOUT_NCHW;
  output_293->dim[0] = 1;
  output_293->dim[1] = 32;
  output_293->dim[2] = 48;
  output_293->dim[3] = 80;
  output_293->dim_count = 4;
  output_293->qinfo = (struct csinn_quant_info *)(params_base + 1656672);
  output_293->quant_channel = 1;
  struct csinn_diso_params *params_293 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_293->base.name = "multiply_/model.17/cv1/act/Mul_225";
  params_293->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_289, output_292, output_293, params_293);
  struct csinn_tensor *output_295 = csinn_alloc_tensor(sess);
  output_295->name = "output_295";
  output_295->dtype = CSINN_DTYPE_INT8;
  output_295->layout = CSINN_LAYOUT_NCHW;
  output_295->dim[0] = 1;
  output_295->dim[1] = 32;
  output_295->dim[2] = 48;
  output_295->dim[3] = 80;
  output_295->dim_count = 4;
  output_295->qinfo = (struct csinn_quant_info *)(params_base + 1656696);
  output_295->quant_channel = 1;
  struct csinn_tensor *kernel_295 = csinn_alloc_tensor(sess);
  kernel_295->name = "kernel_295";
  kernel_295->data = params_base + 1656744;
  kernel_295->is_const = 1;
  kernel_295->dtype = CSINN_DTYPE_INT8;
  kernel_295->layout = CSINN_LAYOUT_OIHW;
  kernel_295->dim[0] = 32;
  kernel_295->dim[1] = 32;
  kernel_295->dim[2] = 1;
  kernel_295->dim[3] = 1;
  kernel_295->dim_count = 4;
  kernel_295->qinfo = (struct csinn_quant_info *)(params_base + 1656720);
  kernel_295->quant_channel = 1;
  struct csinn_tensor *bias_295 = csinn_alloc_tensor(sess);
  bias_295->name = "bias_295";
  bias_295->data = params_base + 1657792;
  bias_295->is_const = 1;
  bias_295->dtype = CSINN_DTYPE_INT32;
  bias_295->layout = CSINN_LAYOUT_O;
  bias_295->dim[0] = 32;
  bias_295->dim_count = 1;
  bias_295->qinfo = (struct csinn_quant_info *)(params_base + 1657768);
  bias_295->quant_channel = 1;
  struct csinn_conv2d_params *params_295 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_295->group = 1;
  params_295->stride_height = 1;
  params_295->stride_width = 1;
  params_295->dilation_height = 1;
  params_295->dilation_width = 1;
  params_295->conv_extra.kernel_tm = NULL;
  params_295->conv_extra.conv_mode = CSINN_DIRECT;
  params_295->pad_top = 0;
  params_295->pad_left = 0;
  params_295->pad_down = 0;
  params_295->pad_right = 0;
  params_295->base.name = "conv2d_/model.17/m/m.0/cv1/conv/Conv_PART_0_226_fuse_bias_add_/model.17/m/m.0/cv1/conv/Conv_227";
  params_295->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_293, output_295, kernel_295, bias_295, params_295);
  struct csinn_tensor *output_297 = csinn_alloc_tensor(sess);
  output_297->name = "output_297";
  output_297->dtype = CSINN_DTYPE_INT8;
  output_297->layout = CSINN_LAYOUT_NCHW;
  output_297->dim[0] = 1;
  output_297->dim[1] = 32;
  output_297->dim[2] = 48;
  output_297->dim[3] = 80;
  output_297->dim_count = 4;
  output_297->qinfo = (struct csinn_quant_info *)(params_base + 1657920);
  output_297->quant_channel = 1;
  struct csinn_sigmoid_params *params_297 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_297->base.name = "sigmoid_/model.17/m/m.0/cv1/act/Sigmoid_228";
  params_297->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_295, output_297, params_297);
  struct csinn_tensor *output_298 = csinn_alloc_tensor(sess);
  output_298->name = "output_298";
  output_298->dtype = CSINN_DTYPE_INT8;
  output_298->layout = CSINN_LAYOUT_NCHW;
  output_298->dim[0] = 1;
  output_298->dim[1] = 32;
  output_298->dim[2] = 48;
  output_298->dim[3] = 80;
  output_298->dim_count = 4;
  output_298->qinfo = (struct csinn_quant_info *)(params_base + 1657944);
  output_298->quant_channel = 1;
  struct csinn_relu_params *params_298 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_298->base.name = "relu_229";
  params_298->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_297, output_298, params_298);
  struct csinn_tensor *output_299 = csinn_alloc_tensor(sess);
  output_299->name = "output_299";
  output_299->dtype = CSINN_DTYPE_INT8;
  output_299->layout = CSINN_LAYOUT_NCHW;
  output_299->dim[0] = 1;
  output_299->dim[1] = 32;
  output_299->dim[2] = 48;
  output_299->dim[3] = 80;
  output_299->dim_count = 4;
  output_299->qinfo = (struct csinn_quant_info *)(params_base + 1657968);
  output_299->quant_channel = 1;
  struct csinn_diso_params *params_299 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_299->base.name = "multiply_/model.17/m/m.0/cv1/act/Mul_230";
  params_299->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_295, output_298, output_299, params_299);
  struct csinn_tensor *output_301 = csinn_alloc_tensor(sess);
  output_301->name = "output_301";
  output_301->dtype = CSINN_DTYPE_INT8;
  output_301->layout = CSINN_LAYOUT_NCHW;
  output_301->dim[0] = 1;
  output_301->dim[1] = 32;
  output_301->dim[2] = 48;
  output_301->dim[3] = 80;
  output_301->dim_count = 4;
  output_301->qinfo = (struct csinn_quant_info *)(params_base + 1657992);
  output_301->quant_channel = 1;
  struct csinn_tensor *kernel_301 = csinn_alloc_tensor(sess);
  kernel_301->name = "kernel_301";
  kernel_301->data = params_base + 1658040;
  kernel_301->is_const = 1;
  kernel_301->dtype = CSINN_DTYPE_INT8;
  kernel_301->layout = CSINN_LAYOUT_OIHW;
  kernel_301->dim[0] = 32;
  kernel_301->dim[1] = 32;
  kernel_301->dim[2] = 3;
  kernel_301->dim[3] = 3;
  kernel_301->dim_count = 4;
  kernel_301->qinfo = (struct csinn_quant_info *)(params_base + 1658016);
  kernel_301->quant_channel = 1;
  struct csinn_tensor *bias_301 = csinn_alloc_tensor(sess);
  bias_301->name = "bias_301";
  bias_301->data = params_base + 1667280;
  bias_301->is_const = 1;
  bias_301->dtype = CSINN_DTYPE_INT32;
  bias_301->layout = CSINN_LAYOUT_O;
  bias_301->dim[0] = 32;
  bias_301->dim_count = 1;
  bias_301->qinfo = (struct csinn_quant_info *)(params_base + 1667256);
  bias_301->quant_channel = 1;
  struct csinn_conv2d_params *params_301 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_301->group = 1;
  params_301->stride_height = 1;
  params_301->stride_width = 1;
  params_301->dilation_height = 1;
  params_301->dilation_width = 1;
  params_301->conv_extra.kernel_tm = NULL;
  params_301->conv_extra.conv_mode = CSINN_DIRECT;
  params_301->pad_top = 1;
  params_301->pad_left = 1;
  params_301->pad_down = 1;
  params_301->pad_right = 1;
  params_301->base.name = "conv2d_/model.17/m/m.0/cv2/conv/Conv_PART_0_231_fuse_bias_add_/model.17/m/m.0/cv2/conv/Conv_232";
  params_301->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_299, output_301, kernel_301, bias_301, params_301);
  struct csinn_tensor *output_303 = csinn_alloc_tensor(sess);
  output_303->name = "output_303";
  output_303->dtype = CSINN_DTYPE_INT8;
  output_303->layout = CSINN_LAYOUT_NCHW;
  output_303->dim[0] = 1;
  output_303->dim[1] = 32;
  output_303->dim[2] = 48;
  output_303->dim[3] = 80;
  output_303->dim_count = 4;
  output_303->qinfo = (struct csinn_quant_info *)(params_base + 1667408);
  output_303->quant_channel = 1;
  struct csinn_sigmoid_params *params_303 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_303->base.name = "sigmoid_/model.17/m/m.0/cv2/act/Sigmoid_233";
  params_303->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_301, output_303, params_303);
  struct csinn_tensor *output_304 = csinn_alloc_tensor(sess);
  output_304->name = "output_304";
  output_304->dtype = CSINN_DTYPE_INT8;
  output_304->layout = CSINN_LAYOUT_NCHW;
  output_304->dim[0] = 1;
  output_304->dim[1] = 32;
  output_304->dim[2] = 48;
  output_304->dim[3] = 80;
  output_304->dim_count = 4;
  output_304->qinfo = (struct csinn_quant_info *)(params_base + 1667432);
  output_304->quant_channel = 1;
  struct csinn_relu_params *params_304 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_304->base.name = "relu_234";
  params_304->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_303, output_304, params_304);
  struct csinn_tensor *output_305 = csinn_alloc_tensor(sess);
  output_305->name = "output_305";
  output_305->dtype = CSINN_DTYPE_INT8;
  output_305->layout = CSINN_LAYOUT_NCHW;
  output_305->dim[0] = 1;
  output_305->dim[1] = 32;
  output_305->dim[2] = 48;
  output_305->dim[3] = 80;
  output_305->dim_count = 4;
  output_305->qinfo = (struct csinn_quant_info *)(params_base + 1667456);
  output_305->quant_channel = 1;
  struct csinn_diso_params *params_305 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_305->base.name = "multiply_/model.17/m/m.0/cv2/act/Mul_235";
  params_305->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_301, output_304, output_305, params_305);
  struct csinn_tensor *output_307 = csinn_alloc_tensor(sess);
  output_307->name = "output_307";
  output_307->dtype = CSINN_DTYPE_INT8;
  output_307->layout = CSINN_LAYOUT_NCHW;
  output_307->dim[0] = 1;
  output_307->dim[1] = 32;
  output_307->dim[2] = 48;
  output_307->dim[3] = 80;
  output_307->dim_count = 4;
  output_307->qinfo = (struct csinn_quant_info *)(params_base + 1667480);
  output_307->quant_channel = 1;
  struct csinn_tensor *kernel_307 = csinn_alloc_tensor(sess);
  kernel_307->name = "kernel_307";
  kernel_307->data = params_base + 1667528;
  kernel_307->is_const = 1;
  kernel_307->dtype = CSINN_DTYPE_INT8;
  kernel_307->layout = CSINN_LAYOUT_OIHW;
  kernel_307->dim[0] = 32;
  kernel_307->dim[1] = 128;
  kernel_307->dim[2] = 1;
  kernel_307->dim[3] = 1;
  kernel_307->dim_count = 4;
  kernel_307->qinfo = (struct csinn_quant_info *)(params_base + 1667504);
  kernel_307->quant_channel = 1;
  struct csinn_tensor *bias_307 = csinn_alloc_tensor(sess);
  bias_307->name = "bias_307";
  bias_307->data = params_base + 1671648;
  bias_307->is_const = 1;
  bias_307->dtype = CSINN_DTYPE_INT32;
  bias_307->layout = CSINN_LAYOUT_O;
  bias_307->dim[0] = 32;
  bias_307->dim_count = 1;
  bias_307->qinfo = (struct csinn_quant_info *)(params_base + 1671624);
  bias_307->quant_channel = 1;
  struct csinn_conv2d_params *params_307 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_307->group = 1;
  params_307->stride_height = 1;
  params_307->stride_width = 1;
  params_307->dilation_height = 1;
  params_307->dilation_width = 1;
  params_307->conv_extra.kernel_tm = NULL;
  params_307->conv_extra.conv_mode = CSINN_DIRECT;
  params_307->pad_top = 0;
  params_307->pad_left = 0;
  params_307->pad_down = 0;
  params_307->pad_right = 0;
  params_307->base.name = "conv2d_/model.17/cv2/conv/Conv_PART_0_236_fuse_bias_add_/model.17/cv2/conv/Conv_237";
  params_307->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_288, output_307, kernel_307, bias_307, params_307);
  struct csinn_tensor *output_309 = csinn_alloc_tensor(sess);
  output_309->name = "output_309";
  output_309->dtype = CSINN_DTYPE_INT8;
  output_309->layout = CSINN_LAYOUT_NCHW;
  output_309->dim[0] = 1;
  output_309->dim[1] = 32;
  output_309->dim[2] = 48;
  output_309->dim[3] = 80;
  output_309->dim_count = 4;
  output_309->qinfo = (struct csinn_quant_info *)(params_base + 1671776);
  output_309->quant_channel = 1;
  struct csinn_sigmoid_params *params_309 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_309->base.name = "sigmoid_/model.17/cv2/act/Sigmoid_238";
  params_309->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_307, output_309, params_309);
  struct csinn_tensor *output_310 = csinn_alloc_tensor(sess);
  output_310->name = "output_310";
  output_310->dtype = CSINN_DTYPE_INT8;
  output_310->layout = CSINN_LAYOUT_NCHW;
  output_310->dim[0] = 1;
  output_310->dim[1] = 32;
  output_310->dim[2] = 48;
  output_310->dim[3] = 80;
  output_310->dim_count = 4;
  output_310->qinfo = (struct csinn_quant_info *)(params_base + 1671800);
  output_310->quant_channel = 1;
  struct csinn_relu_params *params_310 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_310->base.name = "relu_239";
  params_310->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_309, output_310, params_310);
  struct csinn_tensor *output_311 = csinn_alloc_tensor(sess);
  output_311->name = "output_311";
  output_311->dtype = CSINN_DTYPE_INT8;
  output_311->layout = CSINN_LAYOUT_NCHW;
  output_311->dim[0] = 1;
  output_311->dim[1] = 32;
  output_311->dim[2] = 48;
  output_311->dim[3] = 80;
  output_311->dim_count = 4;
  output_311->qinfo = (struct csinn_quant_info *)(params_base + 1671824);
  output_311->quant_channel = 1;
  struct csinn_diso_params *params_311 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_311->base.name = "multiply_/model.17/cv2/act/Mul_240";
  params_311->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_307, output_310, output_311, params_311);
  struct csinn_tensor *input_313_concat[2];
  struct csinn_tensor *output_313 = csinn_alloc_tensor(sess);
  output_313->name = "output_313";
  output_313->dtype = CSINN_DTYPE_INT8;
  output_313->layout = CSINN_LAYOUT_NCHW;
  output_313->dim[0] = 1;
  output_313->dim[1] = 64;
  output_313->dim[2] = 48;
  output_313->dim[3] = 80;
  output_313->dim_count = 4;
  output_313->qinfo = (struct csinn_quant_info *)(params_base + 1671848);
  output_313->quant_channel = 1;
  struct csinn_concat_params *params_313 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_313->inputs_count = 2;
  params_313->axis = 1;
  params_313->base.name = "concatenate_/model.17/Concat_241";
  params_313->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_313_concat, output_313, params_313);
  struct csinn_tensor *output_314 = csinn_alloc_tensor(sess);
  output_314->name = "output_314";
  output_314->dtype = CSINN_DTYPE_INT8;
  output_314->layout = CSINN_LAYOUT_NCHW;
  output_314->dim[0] = 1;
  output_314->dim[1] = 64;
  output_314->dim[2] = 48;
  output_314->dim[3] = 80;
  output_314->dim_count = 4;
  output_314->qinfo = (struct csinn_quant_info *)(params_base + 1671872);
  output_314->quant_channel = 1;
  struct csinn_tensor *kernel_314 = csinn_alloc_tensor(sess);
  kernel_314->name = "kernel_314";
  kernel_314->data = params_base + 1671920;
  kernel_314->is_const = 1;
  kernel_314->dtype = CSINN_DTYPE_INT8;
  kernel_314->layout = CSINN_LAYOUT_OIHW;
  kernel_314->dim[0] = 64;
  kernel_314->dim[1] = 64;
  kernel_314->dim[2] = 1;
  kernel_314->dim[3] = 1;
  kernel_314->dim_count = 4;
  kernel_314->qinfo = (struct csinn_quant_info *)(params_base + 1671896);
  kernel_314->quant_channel = 1;
  struct csinn_tensor *bias_314 = csinn_alloc_tensor(sess);
  bias_314->name = "bias_314";
  bias_314->data = params_base + 1676040;
  bias_314->is_const = 1;
  bias_314->dtype = CSINN_DTYPE_INT32;
  bias_314->layout = CSINN_LAYOUT_O;
  bias_314->dim[0] = 64;
  bias_314->dim_count = 1;
  bias_314->qinfo = (struct csinn_quant_info *)(params_base + 1676016);
  bias_314->quant_channel = 1;
  struct csinn_conv2d_params *params_314 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_314->group = 1;
  params_314->stride_height = 1;
  params_314->stride_width = 1;
  params_314->dilation_height = 1;
  params_314->dilation_width = 1;
  params_314->conv_extra.kernel_tm = NULL;
  params_314->conv_extra.conv_mode = CSINN_DIRECT;
  params_314->pad_top = 0;
  params_314->pad_left = 0;
  params_314->pad_down = 0;
  params_314->pad_right = 0;
  params_314->base.name = "conv2d_/model.17/cv3/conv/Conv_PART_0_242_fuse_bias_add_/model.17/cv3/conv/Conv_243";
  params_314->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_313, output_314, kernel_314, bias_314, params_314);
  struct csinn_tensor *output_316 = csinn_alloc_tensor(sess);
  output_316->name = "output_316";
  output_316->dtype = CSINN_DTYPE_INT8;
  output_316->layout = CSINN_LAYOUT_NCHW;
  output_316->dim[0] = 1;
  output_316->dim[1] = 64;
  output_316->dim[2] = 48;
  output_316->dim[3] = 80;
  output_316->dim_count = 4;
  output_316->qinfo = (struct csinn_quant_info *)(params_base + 1676296);
  output_316->quant_channel = 1;
  struct csinn_sigmoid_params *params_316 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_316->base.name = "sigmoid_/model.17/cv3/act/Sigmoid_244";
  params_316->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_314, output_316, params_316);
  struct csinn_tensor *output_317 = csinn_alloc_tensor(sess);
  output_317->name = "output_317";
  output_317->dtype = CSINN_DTYPE_INT8;
  output_317->layout = CSINN_LAYOUT_NCHW;
  output_317->dim[0] = 1;
  output_317->dim[1] = 64;
  output_317->dim[2] = 48;
  output_317->dim[3] = 80;
  output_317->dim_count = 4;
  output_317->qinfo = (struct csinn_quant_info *)(params_base + 1676320);
  output_317->quant_channel = 1;
  struct csinn_relu_params *params_317 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_317->base.name = "relu_245";
  params_317->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_316, output_317, params_317);
  struct csinn_tensor *output_318 = csinn_alloc_tensor(sess);
  output_318->name = "output_318";
  output_318->dtype = CSINN_DTYPE_INT8;
  output_318->layout = CSINN_LAYOUT_NCHW;
  output_318->dim[0] = 1;
  output_318->dim[1] = 64;
  output_318->dim[2] = 48;
  output_318->dim[3] = 80;
  output_318->dim_count = 4;
  output_318->qinfo = (struct csinn_quant_info *)(params_base + 1676344);
  output_318->quant_channel = 1;
  struct csinn_diso_params *params_318 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_318->base.name = "multiply_/model.17/cv3/act/Mul_246";
  params_318->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_314, output_317, output_318, params_318);
  struct csinn_tensor *output_320 = csinn_alloc_tensor(sess);
  output_320->name = "conv2d_/model.24/m.0/Conv_PART_0_247_fuse_bias_add_/model.24/m.0/Conv_output_0@@/model.24/m.0/Conv_248_320";
  output_320->dtype = CSINN_DTYPE_INT8;
  output_320->layout = CSINN_LAYOUT_NCHW;
  output_320->dim[0] = 1;
  output_320->dim[1] = 255;
  output_320->dim[2] = 48;
  output_320->dim[3] = 80;
  output_320->dim_count = 4;
  output_320->qinfo = (struct csinn_quant_info *)(params_base + 1676368);
  output_320->quant_channel = 1;
  struct csinn_tensor *kernel_320 = csinn_alloc_tensor(sess);
  kernel_320->name = "kernel_320";
  kernel_320->data = params_base + 1676416;
  kernel_320->is_const = 1;
  kernel_320->dtype = CSINN_DTYPE_INT8;
  kernel_320->layout = CSINN_LAYOUT_OIHW;
  kernel_320->dim[0] = 255;
  kernel_320->dim[1] = 64;
  kernel_320->dim[2] = 1;
  kernel_320->dim[3] = 1;
  kernel_320->dim_count = 4;
  kernel_320->qinfo = (struct csinn_quant_info *)(params_base + 1676392);
  kernel_320->quant_channel = 1;
  struct csinn_tensor *bias_320 = csinn_alloc_tensor(sess);
  bias_320->name = "bias_320";
  bias_320->data = params_base + 1692760;
  bias_320->is_const = 1;
  bias_320->dtype = CSINN_DTYPE_INT32;
  bias_320->layout = CSINN_LAYOUT_O;
  bias_320->dim[0] = 255;
  bias_320->dim_count = 1;
  bias_320->qinfo = (struct csinn_quant_info *)(params_base + 1692736);
  bias_320->quant_channel = 1;
  struct csinn_conv2d_params *params_320 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_320->group = 1;
  params_320->stride_height = 1;
  params_320->stride_width = 1;
  params_320->dilation_height = 1;
  params_320->dilation_width = 1;
  params_320->conv_extra.kernel_tm = NULL;
  params_320->conv_extra.conv_mode = CSINN_DIRECT;
  params_320->pad_top = 0;
  params_320->pad_left = 0;
  params_320->pad_down = 0;
  params_320->pad_right = 0;
  params_320->base.name = "conv2d_/model.24/m.0/Conv_PART_0_247_fuse_bias_add_/model.24/m.0/Conv_output_0@@/model.24/m.0/Conv_248";
  params_320->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_318, output_320, kernel_320, bias_320, params_320);
  struct csinn_tensor *output_321 = csinn_alloc_tensor(sess);
  output_321->name = "output_321";
  output_321->dtype = CSINN_DTYPE_INT8;
  output_321->layout = CSINN_LAYOUT_NCHW;
  output_321->dim[0] = 1;
  output_321->dim[1] = 64;
  output_321->dim[2] = 24;
  output_321->dim[3] = 40;
  output_321->dim_count = 4;
  output_321->qinfo = (struct csinn_quant_info *)(params_base + 1693780);
  output_321->quant_channel = 1;
  struct csinn_tensor *kernel_321 = csinn_alloc_tensor(sess);
  kernel_321->name = "kernel_321";
  kernel_321->data = params_base + 1693828;
  kernel_321->is_const = 1;
  kernel_321->dtype = CSINN_DTYPE_INT8;
  kernel_321->layout = CSINN_LAYOUT_OIHW;
  kernel_321->dim[0] = 64;
  kernel_321->dim[1] = 64;
  kernel_321->dim[2] = 3;
  kernel_321->dim[3] = 3;
  kernel_321->dim_count = 4;
  kernel_321->qinfo = (struct csinn_quant_info *)(params_base + 1693804);
  kernel_321->quant_channel = 1;
  struct csinn_tensor *bias_321 = csinn_alloc_tensor(sess);
  bias_321->name = "bias_321";
  bias_321->data = params_base + 1730716;
  bias_321->is_const = 1;
  bias_321->dtype = CSINN_DTYPE_INT32;
  bias_321->layout = CSINN_LAYOUT_O;
  bias_321->dim[0] = 64;
  bias_321->dim_count = 1;
  bias_321->qinfo = (struct csinn_quant_info *)(params_base + 1730692);
  bias_321->quant_channel = 1;
  struct csinn_conv2d_params *params_321 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_321->group = 1;
  params_321->stride_height = 2;
  params_321->stride_width = 2;
  params_321->dilation_height = 1;
  params_321->dilation_width = 1;
  params_321->conv_extra.kernel_tm = NULL;
  params_321->conv_extra.conv_mode = CSINN_DIRECT;
  params_321->pad_top = 1;
  params_321->pad_left = 1;
  params_321->pad_down = 1;
  params_321->pad_right = 1;
  params_321->base.name = "conv2d_/model.18/conv/Conv_PART_0_249_fuse_bias_add_/model.18/conv/Conv_250";
  params_321->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_318, output_321, kernel_321, bias_321, params_321);
  struct csinn_tensor *output_323 = csinn_alloc_tensor(sess);
  output_323->name = "output_323";
  output_323->dtype = CSINN_DTYPE_INT8;
  output_323->layout = CSINN_LAYOUT_NCHW;
  output_323->dim[0] = 1;
  output_323->dim[1] = 64;
  output_323->dim[2] = 24;
  output_323->dim[3] = 40;
  output_323->dim_count = 4;
  output_323->qinfo = (struct csinn_quant_info *)(params_base + 1730972);
  output_323->quant_channel = 1;
  struct csinn_sigmoid_params *params_323 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_323->base.name = "sigmoid_/model.18/act/Sigmoid_251";
  params_323->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_321, output_323, params_323);
  struct csinn_tensor *output_324 = csinn_alloc_tensor(sess);
  output_324->name = "output_324";
  output_324->dtype = CSINN_DTYPE_INT8;
  output_324->layout = CSINN_LAYOUT_NCHW;
  output_324->dim[0] = 1;
  output_324->dim[1] = 64;
  output_324->dim[2] = 24;
  output_324->dim[3] = 40;
  output_324->dim_count = 4;
  output_324->qinfo = (struct csinn_quant_info *)(params_base + 1730996);
  output_324->quant_channel = 1;
  struct csinn_relu_params *params_324 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_324->base.name = "relu_252";
  params_324->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_323, output_324, params_324);
  struct csinn_tensor *output_325 = csinn_alloc_tensor(sess);
  output_325->name = "output_325";
  output_325->dtype = CSINN_DTYPE_INT8;
  output_325->layout = CSINN_LAYOUT_NCHW;
  output_325->dim[0] = 1;
  output_325->dim[1] = 64;
  output_325->dim[2] = 24;
  output_325->dim[3] = 40;
  output_325->dim_count = 4;
  output_325->qinfo = (struct csinn_quant_info *)(params_base + 1731020);
  output_325->quant_channel = 1;
  struct csinn_diso_params *params_325 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_325->base.name = "multiply_/model.18/act/Mul_253";
  params_325->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_321, output_324, output_325, params_325);
  struct csinn_tensor *input_327_concat[2];
  struct csinn_tensor *output_327 = csinn_alloc_tensor(sess);
  output_327->name = "output_327";
  output_327->dtype = CSINN_DTYPE_INT8;
  output_327->layout = CSINN_LAYOUT_NCHW;
  output_327->dim[0] = 1;
  output_327->dim[1] = 128;
  output_327->dim[2] = 24;
  output_327->dim[3] = 40;
  output_327->dim_count = 4;
  output_327->qinfo = (struct csinn_quant_info *)(params_base + 1731044);
  output_327->quant_channel = 1;
  struct csinn_concat_params *params_327 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_327->inputs_count = 2;
  params_327->axis = 1;
  params_327->base.name = "concatenate_/model.19/Concat_254";
  params_327->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_327_concat, output_327, params_327);
  struct csinn_tensor *output_328 = csinn_alloc_tensor(sess);
  output_328->name = "output_328";
  output_328->dtype = CSINN_DTYPE_INT8;
  output_328->layout = CSINN_LAYOUT_NCHW;
  output_328->dim[0] = 1;
  output_328->dim[1] = 64;
  output_328->dim[2] = 24;
  output_328->dim[3] = 40;
  output_328->dim_count = 4;
  output_328->qinfo = (struct csinn_quant_info *)(params_base + 1731068);
  output_328->quant_channel = 1;
  struct csinn_tensor *kernel_328 = csinn_alloc_tensor(sess);
  kernel_328->name = "kernel_328";
  kernel_328->data = params_base + 1731116;
  kernel_328->is_const = 1;
  kernel_328->dtype = CSINN_DTYPE_INT8;
  kernel_328->layout = CSINN_LAYOUT_OIHW;
  kernel_328->dim[0] = 64;
  kernel_328->dim[1] = 128;
  kernel_328->dim[2] = 1;
  kernel_328->dim[3] = 1;
  kernel_328->dim_count = 4;
  kernel_328->qinfo = (struct csinn_quant_info *)(params_base + 1731092);
  kernel_328->quant_channel = 1;
  struct csinn_tensor *bias_328 = csinn_alloc_tensor(sess);
  bias_328->name = "bias_328";
  bias_328->data = params_base + 1739332;
  bias_328->is_const = 1;
  bias_328->dtype = CSINN_DTYPE_INT32;
  bias_328->layout = CSINN_LAYOUT_O;
  bias_328->dim[0] = 64;
  bias_328->dim_count = 1;
  bias_328->qinfo = (struct csinn_quant_info *)(params_base + 1739308);
  bias_328->quant_channel = 1;
  struct csinn_conv2d_params *params_328 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_328->group = 1;
  params_328->stride_height = 1;
  params_328->stride_width = 1;
  params_328->dilation_height = 1;
  params_328->dilation_width = 1;
  params_328->conv_extra.kernel_tm = NULL;
  params_328->conv_extra.conv_mode = CSINN_DIRECT;
  params_328->pad_top = 0;
  params_328->pad_left = 0;
  params_328->pad_down = 0;
  params_328->pad_right = 0;
  params_328->base.name = "conv2d_/model.20/cv1/conv/Conv_PART_0_255_fuse_bias_add_/model.20/cv1/conv/Conv_256";
  params_328->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_327, output_328, kernel_328, bias_328, params_328);
  struct csinn_tensor *output_330 = csinn_alloc_tensor(sess);
  output_330->name = "output_330";
  output_330->dtype = CSINN_DTYPE_INT8;
  output_330->layout = CSINN_LAYOUT_NCHW;
  output_330->dim[0] = 1;
  output_330->dim[1] = 64;
  output_330->dim[2] = 24;
  output_330->dim[3] = 40;
  output_330->dim_count = 4;
  output_330->qinfo = (struct csinn_quant_info *)(params_base + 1739588);
  output_330->quant_channel = 1;
  struct csinn_sigmoid_params *params_330 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_330->base.name = "sigmoid_/model.20/cv1/act/Sigmoid_257";
  params_330->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_328, output_330, params_330);
  struct csinn_tensor *output_331 = csinn_alloc_tensor(sess);
  output_331->name = "output_331";
  output_331->dtype = CSINN_DTYPE_INT8;
  output_331->layout = CSINN_LAYOUT_NCHW;
  output_331->dim[0] = 1;
  output_331->dim[1] = 64;
  output_331->dim[2] = 24;
  output_331->dim[3] = 40;
  output_331->dim_count = 4;
  output_331->qinfo = (struct csinn_quant_info *)(params_base + 1739612);
  output_331->quant_channel = 1;
  struct csinn_relu_params *params_331 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_331->base.name = "relu_258";
  params_331->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_330, output_331, params_331);
  struct csinn_tensor *output_332 = csinn_alloc_tensor(sess);
  output_332->name = "output_332";
  output_332->dtype = CSINN_DTYPE_INT8;
  output_332->layout = CSINN_LAYOUT_NCHW;
  output_332->dim[0] = 1;
  output_332->dim[1] = 64;
  output_332->dim[2] = 24;
  output_332->dim[3] = 40;
  output_332->dim_count = 4;
  output_332->qinfo = (struct csinn_quant_info *)(params_base + 1739636);
  output_332->quant_channel = 1;
  struct csinn_diso_params *params_332 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_332->base.name = "multiply_/model.20/cv1/act/Mul_259";
  params_332->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_328, output_331, output_332, params_332);
  struct csinn_tensor *output_334 = csinn_alloc_tensor(sess);
  output_334->name = "output_334";
  output_334->dtype = CSINN_DTYPE_INT8;
  output_334->layout = CSINN_LAYOUT_NCHW;
  output_334->dim[0] = 1;
  output_334->dim[1] = 64;
  output_334->dim[2] = 24;
  output_334->dim[3] = 40;
  output_334->dim_count = 4;
  output_334->qinfo = (struct csinn_quant_info *)(params_base + 1739660);
  output_334->quant_channel = 1;
  struct csinn_tensor *kernel_334 = csinn_alloc_tensor(sess);
  kernel_334->name = "kernel_334";
  kernel_334->data = params_base + 1739708;
  kernel_334->is_const = 1;
  kernel_334->dtype = CSINN_DTYPE_INT8;
  kernel_334->layout = CSINN_LAYOUT_OIHW;
  kernel_334->dim[0] = 64;
  kernel_334->dim[1] = 64;
  kernel_334->dim[2] = 1;
  kernel_334->dim[3] = 1;
  kernel_334->dim_count = 4;
  kernel_334->qinfo = (struct csinn_quant_info *)(params_base + 1739684);
  kernel_334->quant_channel = 1;
  struct csinn_tensor *bias_334 = csinn_alloc_tensor(sess);
  bias_334->name = "bias_334";
  bias_334->data = params_base + 1743828;
  bias_334->is_const = 1;
  bias_334->dtype = CSINN_DTYPE_INT32;
  bias_334->layout = CSINN_LAYOUT_O;
  bias_334->dim[0] = 64;
  bias_334->dim_count = 1;
  bias_334->qinfo = (struct csinn_quant_info *)(params_base + 1743804);
  bias_334->quant_channel = 1;
  struct csinn_conv2d_params *params_334 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_334->group = 1;
  params_334->stride_height = 1;
  params_334->stride_width = 1;
  params_334->dilation_height = 1;
  params_334->dilation_width = 1;
  params_334->conv_extra.kernel_tm = NULL;
  params_334->conv_extra.conv_mode = CSINN_DIRECT;
  params_334->pad_top = 0;
  params_334->pad_left = 0;
  params_334->pad_down = 0;
  params_334->pad_right = 0;
  params_334->base.name = "conv2d_/model.20/m/m.0/cv1/conv/Conv_PART_0_260_fuse_bias_add_/model.20/m/m.0/cv1/conv/Conv_261";
  params_334->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_332, output_334, kernel_334, bias_334, params_334);
  struct csinn_tensor *output_336 = csinn_alloc_tensor(sess);
  output_336->name = "output_336";
  output_336->dtype = CSINN_DTYPE_INT8;
  output_336->layout = CSINN_LAYOUT_NCHW;
  output_336->dim[0] = 1;
  output_336->dim[1] = 64;
  output_336->dim[2] = 24;
  output_336->dim[3] = 40;
  output_336->dim_count = 4;
  output_336->qinfo = (struct csinn_quant_info *)(params_base + 1744084);
  output_336->quant_channel = 1;
  struct csinn_sigmoid_params *params_336 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_336->base.name = "sigmoid_/model.20/m/m.0/cv1/act/Sigmoid_262";
  params_336->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_334, output_336, params_336);
  struct csinn_tensor *output_337 = csinn_alloc_tensor(sess);
  output_337->name = "output_337";
  output_337->dtype = CSINN_DTYPE_INT8;
  output_337->layout = CSINN_LAYOUT_NCHW;
  output_337->dim[0] = 1;
  output_337->dim[1] = 64;
  output_337->dim[2] = 24;
  output_337->dim[3] = 40;
  output_337->dim_count = 4;
  output_337->qinfo = (struct csinn_quant_info *)(params_base + 1744108);
  output_337->quant_channel = 1;
  struct csinn_relu_params *params_337 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_337->base.name = "relu_263";
  params_337->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_336, output_337, params_337);
  struct csinn_tensor *output_338 = csinn_alloc_tensor(sess);
  output_338->name = "output_338";
  output_338->dtype = CSINN_DTYPE_INT8;
  output_338->layout = CSINN_LAYOUT_NCHW;
  output_338->dim[0] = 1;
  output_338->dim[1] = 64;
  output_338->dim[2] = 24;
  output_338->dim[3] = 40;
  output_338->dim_count = 4;
  output_338->qinfo = (struct csinn_quant_info *)(params_base + 1744132);
  output_338->quant_channel = 1;
  struct csinn_diso_params *params_338 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_338->base.name = "multiply_/model.20/m/m.0/cv1/act/Mul_264";
  params_338->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_334, output_337, output_338, params_338);
  struct csinn_tensor *output_340 = csinn_alloc_tensor(sess);
  output_340->name = "output_340";
  output_340->dtype = CSINN_DTYPE_INT8;
  output_340->layout = CSINN_LAYOUT_NCHW;
  output_340->dim[0] = 1;
  output_340->dim[1] = 64;
  output_340->dim[2] = 24;
  output_340->dim[3] = 40;
  output_340->dim_count = 4;
  output_340->qinfo = (struct csinn_quant_info *)(params_base + 1744156);
  output_340->quant_channel = 1;
  struct csinn_tensor *kernel_340 = csinn_alloc_tensor(sess);
  kernel_340->name = "kernel_340";
  kernel_340->data = params_base + 1744204;
  kernel_340->is_const = 1;
  kernel_340->dtype = CSINN_DTYPE_INT8;
  kernel_340->layout = CSINN_LAYOUT_OIHW;
  kernel_340->dim[0] = 64;
  kernel_340->dim[1] = 64;
  kernel_340->dim[2] = 3;
  kernel_340->dim[3] = 3;
  kernel_340->dim_count = 4;
  kernel_340->qinfo = (struct csinn_quant_info *)(params_base + 1744180);
  kernel_340->quant_channel = 1;
  struct csinn_tensor *bias_340 = csinn_alloc_tensor(sess);
  bias_340->name = "bias_340";
  bias_340->data = params_base + 1781092;
  bias_340->is_const = 1;
  bias_340->dtype = CSINN_DTYPE_INT32;
  bias_340->layout = CSINN_LAYOUT_O;
  bias_340->dim[0] = 64;
  bias_340->dim_count = 1;
  bias_340->qinfo = (struct csinn_quant_info *)(params_base + 1781068);
  bias_340->quant_channel = 1;
  struct csinn_conv2d_params *params_340 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_340->group = 1;
  params_340->stride_height = 1;
  params_340->stride_width = 1;
  params_340->dilation_height = 1;
  params_340->dilation_width = 1;
  params_340->conv_extra.kernel_tm = NULL;
  params_340->conv_extra.conv_mode = CSINN_DIRECT;
  params_340->pad_top = 1;
  params_340->pad_left = 1;
  params_340->pad_down = 1;
  params_340->pad_right = 1;
  params_340->base.name = "conv2d_/model.20/m/m.0/cv2/conv/Conv_PART_0_265_fuse_bias_add_/model.20/m/m.0/cv2/conv/Conv_266";
  params_340->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_338, output_340, kernel_340, bias_340, params_340);
  struct csinn_tensor *output_342 = csinn_alloc_tensor(sess);
  output_342->name = "output_342";
  output_342->dtype = CSINN_DTYPE_INT8;
  output_342->layout = CSINN_LAYOUT_NCHW;
  output_342->dim[0] = 1;
  output_342->dim[1] = 64;
  output_342->dim[2] = 24;
  output_342->dim[3] = 40;
  output_342->dim_count = 4;
  output_342->qinfo = (struct csinn_quant_info *)(params_base + 1781348);
  output_342->quant_channel = 1;
  struct csinn_sigmoid_params *params_342 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_342->base.name = "sigmoid_/model.20/m/m.0/cv2/act/Sigmoid_267";
  params_342->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_340, output_342, params_342);
  struct csinn_tensor *output_343 = csinn_alloc_tensor(sess);
  output_343->name = "output_343";
  output_343->dtype = CSINN_DTYPE_INT8;
  output_343->layout = CSINN_LAYOUT_NCHW;
  output_343->dim[0] = 1;
  output_343->dim[1] = 64;
  output_343->dim[2] = 24;
  output_343->dim[3] = 40;
  output_343->dim_count = 4;
  output_343->qinfo = (struct csinn_quant_info *)(params_base + 1781372);
  output_343->quant_channel = 1;
  struct csinn_relu_params *params_343 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_343->base.name = "relu_268";
  params_343->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_342, output_343, params_343);
  struct csinn_tensor *output_344 = csinn_alloc_tensor(sess);
  output_344->name = "output_344";
  output_344->dtype = CSINN_DTYPE_INT8;
  output_344->layout = CSINN_LAYOUT_NCHW;
  output_344->dim[0] = 1;
  output_344->dim[1] = 64;
  output_344->dim[2] = 24;
  output_344->dim[3] = 40;
  output_344->dim_count = 4;
  output_344->qinfo = (struct csinn_quant_info *)(params_base + 1781396);
  output_344->quant_channel = 1;
  struct csinn_diso_params *params_344 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_344->base.name = "multiply_/model.20/m/m.0/cv2/act/Mul_269";
  params_344->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_340, output_343, output_344, params_344);
  struct csinn_tensor *output_346 = csinn_alloc_tensor(sess);
  output_346->name = "output_346";
  output_346->dtype = CSINN_DTYPE_INT8;
  output_346->layout = CSINN_LAYOUT_NCHW;
  output_346->dim[0] = 1;
  output_346->dim[1] = 64;
  output_346->dim[2] = 24;
  output_346->dim[3] = 40;
  output_346->dim_count = 4;
  output_346->qinfo = (struct csinn_quant_info *)(params_base + 1781420);
  output_346->quant_channel = 1;
  struct csinn_tensor *kernel_346 = csinn_alloc_tensor(sess);
  kernel_346->name = "kernel_346";
  kernel_346->data = params_base + 1781468;
  kernel_346->is_const = 1;
  kernel_346->dtype = CSINN_DTYPE_INT8;
  kernel_346->layout = CSINN_LAYOUT_OIHW;
  kernel_346->dim[0] = 64;
  kernel_346->dim[1] = 128;
  kernel_346->dim[2] = 1;
  kernel_346->dim[3] = 1;
  kernel_346->dim_count = 4;
  kernel_346->qinfo = (struct csinn_quant_info *)(params_base + 1781444);
  kernel_346->quant_channel = 1;
  struct csinn_tensor *bias_346 = csinn_alloc_tensor(sess);
  bias_346->name = "bias_346";
  bias_346->data = params_base + 1789684;
  bias_346->is_const = 1;
  bias_346->dtype = CSINN_DTYPE_INT32;
  bias_346->layout = CSINN_LAYOUT_O;
  bias_346->dim[0] = 64;
  bias_346->dim_count = 1;
  bias_346->qinfo = (struct csinn_quant_info *)(params_base + 1789660);
  bias_346->quant_channel = 1;
  struct csinn_conv2d_params *params_346 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_346->group = 1;
  params_346->stride_height = 1;
  params_346->stride_width = 1;
  params_346->dilation_height = 1;
  params_346->dilation_width = 1;
  params_346->conv_extra.kernel_tm = NULL;
  params_346->conv_extra.conv_mode = CSINN_DIRECT;
  params_346->pad_top = 0;
  params_346->pad_left = 0;
  params_346->pad_down = 0;
  params_346->pad_right = 0;
  params_346->base.name = "conv2d_/model.20/cv2/conv/Conv_PART_0_270_fuse_bias_add_/model.20/cv2/conv/Conv_271";
  params_346->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_327, output_346, kernel_346, bias_346, params_346);
  struct csinn_tensor *output_348 = csinn_alloc_tensor(sess);
  output_348->name = "output_348";
  output_348->dtype = CSINN_DTYPE_INT8;
  output_348->layout = CSINN_LAYOUT_NCHW;
  output_348->dim[0] = 1;
  output_348->dim[1] = 64;
  output_348->dim[2] = 24;
  output_348->dim[3] = 40;
  output_348->dim_count = 4;
  output_348->qinfo = (struct csinn_quant_info *)(params_base + 1789940);
  output_348->quant_channel = 1;
  struct csinn_sigmoid_params *params_348 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_348->base.name = "sigmoid_/model.20/cv2/act/Sigmoid_272";
  params_348->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_346, output_348, params_348);
  struct csinn_tensor *output_349 = csinn_alloc_tensor(sess);
  output_349->name = "output_349";
  output_349->dtype = CSINN_DTYPE_INT8;
  output_349->layout = CSINN_LAYOUT_NCHW;
  output_349->dim[0] = 1;
  output_349->dim[1] = 64;
  output_349->dim[2] = 24;
  output_349->dim[3] = 40;
  output_349->dim_count = 4;
  output_349->qinfo = (struct csinn_quant_info *)(params_base + 1789964);
  output_349->quant_channel = 1;
  struct csinn_relu_params *params_349 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_349->base.name = "relu_273";
  params_349->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_348, output_349, params_349);
  struct csinn_tensor *output_350 = csinn_alloc_tensor(sess);
  output_350->name = "output_350";
  output_350->dtype = CSINN_DTYPE_INT8;
  output_350->layout = CSINN_LAYOUT_NCHW;
  output_350->dim[0] = 1;
  output_350->dim[1] = 64;
  output_350->dim[2] = 24;
  output_350->dim[3] = 40;
  output_350->dim_count = 4;
  output_350->qinfo = (struct csinn_quant_info *)(params_base + 1789988);
  output_350->quant_channel = 1;
  struct csinn_diso_params *params_350 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_350->base.name = "multiply_/model.20/cv2/act/Mul_274";
  params_350->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_346, output_349, output_350, params_350);
  struct csinn_tensor *input_352_concat[2];
  struct csinn_tensor *output_352 = csinn_alloc_tensor(sess);
  output_352->name = "output_352";
  output_352->dtype = CSINN_DTYPE_INT8;
  output_352->layout = CSINN_LAYOUT_NCHW;
  output_352->dim[0] = 1;
  output_352->dim[1] = 128;
  output_352->dim[2] = 24;
  output_352->dim[3] = 40;
  output_352->dim_count = 4;
  output_352->qinfo = (struct csinn_quant_info *)(params_base + 1790012);
  output_352->quant_channel = 1;
  struct csinn_concat_params *params_352 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_352->inputs_count = 2;
  params_352->axis = 1;
  params_352->base.name = "concatenate_/model.20/Concat_275";
  params_352->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_352_concat, output_352, params_352);
  struct csinn_tensor *output_353 = csinn_alloc_tensor(sess);
  output_353->name = "output_353";
  output_353->dtype = CSINN_DTYPE_INT8;
  output_353->layout = CSINN_LAYOUT_NCHW;
  output_353->dim[0] = 1;
  output_353->dim[1] = 128;
  output_353->dim[2] = 24;
  output_353->dim[3] = 40;
  output_353->dim_count = 4;
  output_353->qinfo = (struct csinn_quant_info *)(params_base + 1790036);
  output_353->quant_channel = 1;
  struct csinn_tensor *kernel_353 = csinn_alloc_tensor(sess);
  kernel_353->name = "kernel_353";
  kernel_353->data = params_base + 1790084;
  kernel_353->is_const = 1;
  kernel_353->dtype = CSINN_DTYPE_INT8;
  kernel_353->layout = CSINN_LAYOUT_OIHW;
  kernel_353->dim[0] = 128;
  kernel_353->dim[1] = 128;
  kernel_353->dim[2] = 1;
  kernel_353->dim[3] = 1;
  kernel_353->dim_count = 4;
  kernel_353->qinfo = (struct csinn_quant_info *)(params_base + 1790060);
  kernel_353->quant_channel = 1;
  struct csinn_tensor *bias_353 = csinn_alloc_tensor(sess);
  bias_353->name = "bias_353";
  bias_353->data = params_base + 1806492;
  bias_353->is_const = 1;
  bias_353->dtype = CSINN_DTYPE_INT32;
  bias_353->layout = CSINN_LAYOUT_O;
  bias_353->dim[0] = 128;
  bias_353->dim_count = 1;
  bias_353->qinfo = (struct csinn_quant_info *)(params_base + 1806468);
  bias_353->quant_channel = 1;
  struct csinn_conv2d_params *params_353 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_353->group = 1;
  params_353->stride_height = 1;
  params_353->stride_width = 1;
  params_353->dilation_height = 1;
  params_353->dilation_width = 1;
  params_353->conv_extra.kernel_tm = NULL;
  params_353->conv_extra.conv_mode = CSINN_DIRECT;
  params_353->pad_top = 0;
  params_353->pad_left = 0;
  params_353->pad_down = 0;
  params_353->pad_right = 0;
  params_353->base.name = "conv2d_/model.20/cv3/conv/Conv_PART_0_276_fuse_bias_add_/model.20/cv3/conv/Conv_277";
  params_353->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_352, output_353, kernel_353, bias_353, params_353);
  struct csinn_tensor *output_355 = csinn_alloc_tensor(sess);
  output_355->name = "output_355";
  output_355->dtype = CSINN_DTYPE_INT8;
  output_355->layout = CSINN_LAYOUT_NCHW;
  output_355->dim[0] = 1;
  output_355->dim[1] = 128;
  output_355->dim[2] = 24;
  output_355->dim[3] = 40;
  output_355->dim_count = 4;
  output_355->qinfo = (struct csinn_quant_info *)(params_base + 1807004);
  output_355->quant_channel = 1;
  struct csinn_sigmoid_params *params_355 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_355->base.name = "sigmoid_/model.20/cv3/act/Sigmoid_278";
  params_355->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_353, output_355, params_355);
  struct csinn_tensor *output_356 = csinn_alloc_tensor(sess);
  output_356->name = "output_356";
  output_356->dtype = CSINN_DTYPE_INT8;
  output_356->layout = CSINN_LAYOUT_NCHW;
  output_356->dim[0] = 1;
  output_356->dim[1] = 128;
  output_356->dim[2] = 24;
  output_356->dim[3] = 40;
  output_356->dim_count = 4;
  output_356->qinfo = (struct csinn_quant_info *)(params_base + 1807028);
  output_356->quant_channel = 1;
  struct csinn_relu_params *params_356 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_356->base.name = "relu_279";
  params_356->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_355, output_356, params_356);
  struct csinn_tensor *output_357 = csinn_alloc_tensor(sess);
  output_357->name = "output_357";
  output_357->dtype = CSINN_DTYPE_INT8;
  output_357->layout = CSINN_LAYOUT_NCHW;
  output_357->dim[0] = 1;
  output_357->dim[1] = 128;
  output_357->dim[2] = 24;
  output_357->dim[3] = 40;
  output_357->dim_count = 4;
  output_357->qinfo = (struct csinn_quant_info *)(params_base + 1807052);
  output_357->quant_channel = 1;
  struct csinn_diso_params *params_357 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_357->base.name = "multiply_/model.20/cv3/act/Mul_280";
  params_357->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_353, output_356, output_357, params_357);
  struct csinn_tensor *output_359 = csinn_alloc_tensor(sess);
  output_359->name = "conv2d_/model.24/m.1/Conv_PART_0_281_fuse_bias_add_/model.24/m.1/Conv_output_0@@/model.24/m.1/Conv_282_359";
  output_359->dtype = CSINN_DTYPE_INT8;
  output_359->layout = CSINN_LAYOUT_NCHW;
  output_359->dim[0] = 1;
  output_359->dim[1] = 255;
  output_359->dim[2] = 24;
  output_359->dim[3] = 40;
  output_359->dim_count = 4;
  output_359->qinfo = (struct csinn_quant_info *)(params_base + 1807076);
  output_359->quant_channel = 1;
  struct csinn_tensor *kernel_359 = csinn_alloc_tensor(sess);
  kernel_359->name = "kernel_359";
  kernel_359->data = params_base + 1807124;
  kernel_359->is_const = 1;
  kernel_359->dtype = CSINN_DTYPE_INT8;
  kernel_359->layout = CSINN_LAYOUT_OIHW;
  kernel_359->dim[0] = 255;
  kernel_359->dim[1] = 128;
  kernel_359->dim[2] = 1;
  kernel_359->dim[3] = 1;
  kernel_359->dim_count = 4;
  kernel_359->qinfo = (struct csinn_quant_info *)(params_base + 1807100);
  kernel_359->quant_channel = 1;
  struct csinn_tensor *bias_359 = csinn_alloc_tensor(sess);
  bias_359->name = "bias_359";
  bias_359->data = params_base + 1839788;
  bias_359->is_const = 1;
  bias_359->dtype = CSINN_DTYPE_INT32;
  bias_359->layout = CSINN_LAYOUT_O;
  bias_359->dim[0] = 255;
  bias_359->dim_count = 1;
  bias_359->qinfo = (struct csinn_quant_info *)(params_base + 1839764);
  bias_359->quant_channel = 1;
  struct csinn_conv2d_params *params_359 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_359->group = 1;
  params_359->stride_height = 1;
  params_359->stride_width = 1;
  params_359->dilation_height = 1;
  params_359->dilation_width = 1;
  params_359->conv_extra.kernel_tm = NULL;
  params_359->conv_extra.conv_mode = CSINN_DIRECT;
  params_359->pad_top = 0;
  params_359->pad_left = 0;
  params_359->pad_down = 0;
  params_359->pad_right = 0;
  params_359->base.name = "conv2d_/model.24/m.1/Conv_PART_0_281_fuse_bias_add_/model.24/m.1/Conv_output_0@@/model.24/m.1/Conv_282";
  params_359->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_357, output_359, kernel_359, bias_359, params_359);
  struct csinn_tensor *output_360 = csinn_alloc_tensor(sess);
  output_360->name = "output_360";
  output_360->dtype = CSINN_DTYPE_INT8;
  output_360->layout = CSINN_LAYOUT_NCHW;
  output_360->dim[0] = 1;
  output_360->dim[1] = 128;
  output_360->dim[2] = 12;
  output_360->dim[3] = 20;
  output_360->dim_count = 4;
  output_360->qinfo = (struct csinn_quant_info *)(params_base + 1840808);
  output_360->quant_channel = 1;
  struct csinn_tensor *kernel_360 = csinn_alloc_tensor(sess);
  kernel_360->name = "kernel_360";
  kernel_360->data = params_base + 1840856;
  kernel_360->is_const = 1;
  kernel_360->dtype = CSINN_DTYPE_INT8;
  kernel_360->layout = CSINN_LAYOUT_OIHW;
  kernel_360->dim[0] = 128;
  kernel_360->dim[1] = 128;
  kernel_360->dim[2] = 3;
  kernel_360->dim[3] = 3;
  kernel_360->dim_count = 4;
  kernel_360->qinfo = (struct csinn_quant_info *)(params_base + 1840832);
  kernel_360->quant_channel = 1;
  struct csinn_tensor *bias_360 = csinn_alloc_tensor(sess);
  bias_360->name = "bias_360";
  bias_360->data = params_base + 1988336;
  bias_360->is_const = 1;
  bias_360->dtype = CSINN_DTYPE_INT32;
  bias_360->layout = CSINN_LAYOUT_O;
  bias_360->dim[0] = 128;
  bias_360->dim_count = 1;
  bias_360->qinfo = (struct csinn_quant_info *)(params_base + 1988312);
  bias_360->quant_channel = 1;
  struct csinn_conv2d_params *params_360 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_360->group = 1;
  params_360->stride_height = 2;
  params_360->stride_width = 2;
  params_360->dilation_height = 1;
  params_360->dilation_width = 1;
  params_360->conv_extra.kernel_tm = NULL;
  params_360->conv_extra.conv_mode = CSINN_DIRECT;
  params_360->pad_top = 1;
  params_360->pad_left = 1;
  params_360->pad_down = 1;
  params_360->pad_right = 1;
  params_360->base.name = "conv2d_/model.21/conv/Conv_PART_0_283_fuse_bias_add_/model.21/conv/Conv_284";
  params_360->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_357, output_360, kernel_360, bias_360, params_360);
  struct csinn_tensor *output_362 = csinn_alloc_tensor(sess);
  output_362->name = "output_362";
  output_362->dtype = CSINN_DTYPE_INT8;
  output_362->layout = CSINN_LAYOUT_NCHW;
  output_362->dim[0] = 1;
  output_362->dim[1] = 128;
  output_362->dim[2] = 12;
  output_362->dim[3] = 20;
  output_362->dim_count = 4;
  output_362->qinfo = (struct csinn_quant_info *)(params_base + 1988848);
  output_362->quant_channel = 1;
  struct csinn_sigmoid_params *params_362 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_362->base.name = "sigmoid_/model.21/act/Sigmoid_285";
  params_362->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_360, output_362, params_362);
  struct csinn_tensor *output_363 = csinn_alloc_tensor(sess);
  output_363->name = "output_363";
  output_363->dtype = CSINN_DTYPE_INT8;
  output_363->layout = CSINN_LAYOUT_NCHW;
  output_363->dim[0] = 1;
  output_363->dim[1] = 128;
  output_363->dim[2] = 12;
  output_363->dim[3] = 20;
  output_363->dim_count = 4;
  output_363->qinfo = (struct csinn_quant_info *)(params_base + 1988872);
  output_363->quant_channel = 1;
  struct csinn_relu_params *params_363 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_363->base.name = "relu_286";
  params_363->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_362, output_363, params_363);
  struct csinn_tensor *output_364 = csinn_alloc_tensor(sess);
  output_364->name = "output_364";
  output_364->dtype = CSINN_DTYPE_INT8;
  output_364->layout = CSINN_LAYOUT_NCHW;
  output_364->dim[0] = 1;
  output_364->dim[1] = 128;
  output_364->dim[2] = 12;
  output_364->dim[3] = 20;
  output_364->dim_count = 4;
  output_364->qinfo = (struct csinn_quant_info *)(params_base + 1988896);
  output_364->quant_channel = 1;
  struct csinn_diso_params *params_364 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_364->base.name = "multiply_/model.21/act/Mul_287";
  params_364->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_360, output_363, output_364, params_364);
  struct csinn_tensor *input_366_concat[2];
  struct csinn_tensor *output_366 = csinn_alloc_tensor(sess);
  output_366->name = "output_366";
  output_366->dtype = CSINN_DTYPE_INT8;
  output_366->layout = CSINN_LAYOUT_NCHW;
  output_366->dim[0] = 1;
  output_366->dim[1] = 256;
  output_366->dim[2] = 12;
  output_366->dim[3] = 20;
  output_366->dim_count = 4;
  output_366->qinfo = (struct csinn_quant_info *)(params_base + 1988920);
  output_366->quant_channel = 1;
  struct csinn_concat_params *params_366 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_366->inputs_count = 2;
  params_366->axis = 1;
  params_366->base.name = "concatenate_/model.22/Concat_288";
  params_366->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_366_concat, output_366, params_366);
  struct csinn_tensor *output_367 = csinn_alloc_tensor(sess);
  output_367->name = "output_367";
  output_367->dtype = CSINN_DTYPE_INT8;
  output_367->layout = CSINN_LAYOUT_NCHW;
  output_367->dim[0] = 1;
  output_367->dim[1] = 128;
  output_367->dim[2] = 12;
  output_367->dim[3] = 20;
  output_367->dim_count = 4;
  output_367->qinfo = (struct csinn_quant_info *)(params_base + 1988944);
  output_367->quant_channel = 1;
  struct csinn_tensor *kernel_367 = csinn_alloc_tensor(sess);
  kernel_367->name = "kernel_367";
  kernel_367->data = params_base + 1988992;
  kernel_367->is_const = 1;
  kernel_367->dtype = CSINN_DTYPE_INT8;
  kernel_367->layout = CSINN_LAYOUT_OIHW;
  kernel_367->dim[0] = 128;
  kernel_367->dim[1] = 256;
  kernel_367->dim[2] = 1;
  kernel_367->dim[3] = 1;
  kernel_367->dim_count = 4;
  kernel_367->qinfo = (struct csinn_quant_info *)(params_base + 1988968);
  kernel_367->quant_channel = 1;
  struct csinn_tensor *bias_367 = csinn_alloc_tensor(sess);
  bias_367->name = "bias_367";
  bias_367->data = params_base + 2021784;
  bias_367->is_const = 1;
  bias_367->dtype = CSINN_DTYPE_INT32;
  bias_367->layout = CSINN_LAYOUT_O;
  bias_367->dim[0] = 128;
  bias_367->dim_count = 1;
  bias_367->qinfo = (struct csinn_quant_info *)(params_base + 2021760);
  bias_367->quant_channel = 1;
  struct csinn_conv2d_params *params_367 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_367->group = 1;
  params_367->stride_height = 1;
  params_367->stride_width = 1;
  params_367->dilation_height = 1;
  params_367->dilation_width = 1;
  params_367->conv_extra.kernel_tm = NULL;
  params_367->conv_extra.conv_mode = CSINN_DIRECT;
  params_367->pad_top = 0;
  params_367->pad_left = 0;
  params_367->pad_down = 0;
  params_367->pad_right = 0;
  params_367->base.name = "conv2d_/model.23/cv1/conv/Conv_PART_0_289_fuse_bias_add_/model.23/cv1/conv/Conv_290";
  params_367->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_366, output_367, kernel_367, bias_367, params_367);
  struct csinn_tensor *output_369 = csinn_alloc_tensor(sess);
  output_369->name = "output_369";
  output_369->dtype = CSINN_DTYPE_INT8;
  output_369->layout = CSINN_LAYOUT_NCHW;
  output_369->dim[0] = 1;
  output_369->dim[1] = 128;
  output_369->dim[2] = 12;
  output_369->dim[3] = 20;
  output_369->dim_count = 4;
  output_369->qinfo = (struct csinn_quant_info *)(params_base + 2022296);
  output_369->quant_channel = 1;
  struct csinn_sigmoid_params *params_369 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_369->base.name = "sigmoid_/model.23/cv1/act/Sigmoid_291";
  params_369->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_367, output_369, params_369);
  struct csinn_tensor *output_370 = csinn_alloc_tensor(sess);
  output_370->name = "output_370";
  output_370->dtype = CSINN_DTYPE_INT8;
  output_370->layout = CSINN_LAYOUT_NCHW;
  output_370->dim[0] = 1;
  output_370->dim[1] = 128;
  output_370->dim[2] = 12;
  output_370->dim[3] = 20;
  output_370->dim_count = 4;
  output_370->qinfo = (struct csinn_quant_info *)(params_base + 2022320);
  output_370->quant_channel = 1;
  struct csinn_relu_params *params_370 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_370->base.name = "relu_292";
  params_370->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_369, output_370, params_370);
  struct csinn_tensor *output_371 = csinn_alloc_tensor(sess);
  output_371->name = "output_371";
  output_371->dtype = CSINN_DTYPE_INT8;
  output_371->layout = CSINN_LAYOUT_NCHW;
  output_371->dim[0] = 1;
  output_371->dim[1] = 128;
  output_371->dim[2] = 12;
  output_371->dim[3] = 20;
  output_371->dim_count = 4;
  output_371->qinfo = (struct csinn_quant_info *)(params_base + 2022344);
  output_371->quant_channel = 1;
  struct csinn_diso_params *params_371 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_371->base.name = "multiply_/model.23/cv1/act/Mul_293";
  params_371->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_367, output_370, output_371, params_371);
  struct csinn_tensor *output_373 = csinn_alloc_tensor(sess);
  output_373->name = "output_373";
  output_373->dtype = CSINN_DTYPE_INT8;
  output_373->layout = CSINN_LAYOUT_NCHW;
  output_373->dim[0] = 1;
  output_373->dim[1] = 128;
  output_373->dim[2] = 12;
  output_373->dim[3] = 20;
  output_373->dim_count = 4;
  output_373->qinfo = (struct csinn_quant_info *)(params_base + 2022368);
  output_373->quant_channel = 1;
  struct csinn_tensor *kernel_373 = csinn_alloc_tensor(sess);
  kernel_373->name = "kernel_373";
  kernel_373->data = params_base + 2022416;
  kernel_373->is_const = 1;
  kernel_373->dtype = CSINN_DTYPE_INT8;
  kernel_373->layout = CSINN_LAYOUT_OIHW;
  kernel_373->dim[0] = 128;
  kernel_373->dim[1] = 128;
  kernel_373->dim[2] = 1;
  kernel_373->dim[3] = 1;
  kernel_373->dim_count = 4;
  kernel_373->qinfo = (struct csinn_quant_info *)(params_base + 2022392);
  kernel_373->quant_channel = 1;
  struct csinn_tensor *bias_373 = csinn_alloc_tensor(sess);
  bias_373->name = "bias_373";
  bias_373->data = params_base + 2038824;
  bias_373->is_const = 1;
  bias_373->dtype = CSINN_DTYPE_INT32;
  bias_373->layout = CSINN_LAYOUT_O;
  bias_373->dim[0] = 128;
  bias_373->dim_count = 1;
  bias_373->qinfo = (struct csinn_quant_info *)(params_base + 2038800);
  bias_373->quant_channel = 1;
  struct csinn_conv2d_params *params_373 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_373->group = 1;
  params_373->stride_height = 1;
  params_373->stride_width = 1;
  params_373->dilation_height = 1;
  params_373->dilation_width = 1;
  params_373->conv_extra.kernel_tm = NULL;
  params_373->conv_extra.conv_mode = CSINN_DIRECT;
  params_373->pad_top = 0;
  params_373->pad_left = 0;
  params_373->pad_down = 0;
  params_373->pad_right = 0;
  params_373->base.name = "conv2d_/model.23/m/m.0/cv1/conv/Conv_PART_0_294_fuse_bias_add_/model.23/m/m.0/cv1/conv/Conv_295";
  params_373->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_371, output_373, kernel_373, bias_373, params_373);
  struct csinn_tensor *output_375 = csinn_alloc_tensor(sess);
  output_375->name = "output_375";
  output_375->dtype = CSINN_DTYPE_INT8;
  output_375->layout = CSINN_LAYOUT_NCHW;
  output_375->dim[0] = 1;
  output_375->dim[1] = 128;
  output_375->dim[2] = 12;
  output_375->dim[3] = 20;
  output_375->dim_count = 4;
  output_375->qinfo = (struct csinn_quant_info *)(params_base + 2039336);
  output_375->quant_channel = 1;
  struct csinn_sigmoid_params *params_375 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_375->base.name = "sigmoid_/model.23/m/m.0/cv1/act/Sigmoid_296";
  params_375->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_373, output_375, params_375);
  struct csinn_tensor *output_376 = csinn_alloc_tensor(sess);
  output_376->name = "output_376";
  output_376->dtype = CSINN_DTYPE_INT8;
  output_376->layout = CSINN_LAYOUT_NCHW;
  output_376->dim[0] = 1;
  output_376->dim[1] = 128;
  output_376->dim[2] = 12;
  output_376->dim[3] = 20;
  output_376->dim_count = 4;
  output_376->qinfo = (struct csinn_quant_info *)(params_base + 2039360);
  output_376->quant_channel = 1;
  struct csinn_relu_params *params_376 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_376->base.name = "relu_297";
  params_376->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_375, output_376, params_376);
  struct csinn_tensor *output_377 = csinn_alloc_tensor(sess);
  output_377->name = "output_377";
  output_377->dtype = CSINN_DTYPE_INT8;
  output_377->layout = CSINN_LAYOUT_NCHW;
  output_377->dim[0] = 1;
  output_377->dim[1] = 128;
  output_377->dim[2] = 12;
  output_377->dim[3] = 20;
  output_377->dim_count = 4;
  output_377->qinfo = (struct csinn_quant_info *)(params_base + 2039384);
  output_377->quant_channel = 1;
  struct csinn_diso_params *params_377 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_377->base.name = "multiply_/model.23/m/m.0/cv1/act/Mul_298";
  params_377->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_373, output_376, output_377, params_377);
  struct csinn_tensor *output_379 = csinn_alloc_tensor(sess);
  output_379->name = "output_379";
  output_379->dtype = CSINN_DTYPE_INT8;
  output_379->layout = CSINN_LAYOUT_NCHW;
  output_379->dim[0] = 1;
  output_379->dim[1] = 128;
  output_379->dim[2] = 12;
  output_379->dim[3] = 20;
  output_379->dim_count = 4;
  output_379->qinfo = (struct csinn_quant_info *)(params_base + 2039408);
  output_379->quant_channel = 1;
  struct csinn_tensor *kernel_379 = csinn_alloc_tensor(sess);
  kernel_379->name = "kernel_379";
  kernel_379->data = params_base + 2039456;
  kernel_379->is_const = 1;
  kernel_379->dtype = CSINN_DTYPE_INT8;
  kernel_379->layout = CSINN_LAYOUT_OIHW;
  kernel_379->dim[0] = 128;
  kernel_379->dim[1] = 128;
  kernel_379->dim[2] = 3;
  kernel_379->dim[3] = 3;
  kernel_379->dim_count = 4;
  kernel_379->qinfo = (struct csinn_quant_info *)(params_base + 2039432);
  kernel_379->quant_channel = 1;
  struct csinn_tensor *bias_379 = csinn_alloc_tensor(sess);
  bias_379->name = "bias_379";
  bias_379->data = params_base + 2186936;
  bias_379->is_const = 1;
  bias_379->dtype = CSINN_DTYPE_INT32;
  bias_379->layout = CSINN_LAYOUT_O;
  bias_379->dim[0] = 128;
  bias_379->dim_count = 1;
  bias_379->qinfo = (struct csinn_quant_info *)(params_base + 2186912);
  bias_379->quant_channel = 1;
  struct csinn_conv2d_params *params_379 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_379->group = 1;
  params_379->stride_height = 1;
  params_379->stride_width = 1;
  params_379->dilation_height = 1;
  params_379->dilation_width = 1;
  params_379->conv_extra.kernel_tm = NULL;
  params_379->conv_extra.conv_mode = CSINN_DIRECT;
  params_379->pad_top = 1;
  params_379->pad_left = 1;
  params_379->pad_down = 1;
  params_379->pad_right = 1;
  params_379->base.name = "conv2d_/model.23/m/m.0/cv2/conv/Conv_PART_0_299_fuse_bias_add_/model.23/m/m.0/cv2/conv/Conv_300";
  params_379->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_377, output_379, kernel_379, bias_379, params_379);
  struct csinn_tensor *output_381 = csinn_alloc_tensor(sess);
  output_381->name = "output_381";
  output_381->dtype = CSINN_DTYPE_INT8;
  output_381->layout = CSINN_LAYOUT_NCHW;
  output_381->dim[0] = 1;
  output_381->dim[1] = 128;
  output_381->dim[2] = 12;
  output_381->dim[3] = 20;
  output_381->dim_count = 4;
  output_381->qinfo = (struct csinn_quant_info *)(params_base + 2187448);
  output_381->quant_channel = 1;
  struct csinn_sigmoid_params *params_381 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_381->base.name = "sigmoid_/model.23/m/m.0/cv2/act/Sigmoid_301";
  params_381->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_379, output_381, params_381);
  struct csinn_tensor *output_382 = csinn_alloc_tensor(sess);
  output_382->name = "output_382";
  output_382->dtype = CSINN_DTYPE_INT8;
  output_382->layout = CSINN_LAYOUT_NCHW;
  output_382->dim[0] = 1;
  output_382->dim[1] = 128;
  output_382->dim[2] = 12;
  output_382->dim[3] = 20;
  output_382->dim_count = 4;
  output_382->qinfo = (struct csinn_quant_info *)(params_base + 2187472);
  output_382->quant_channel = 1;
  struct csinn_relu_params *params_382 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_382->base.name = "relu_302";
  params_382->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_381, output_382, params_382);
  struct csinn_tensor *output_383 = csinn_alloc_tensor(sess);
  output_383->name = "output_383";
  output_383->dtype = CSINN_DTYPE_INT8;
  output_383->layout = CSINN_LAYOUT_NCHW;
  output_383->dim[0] = 1;
  output_383->dim[1] = 128;
  output_383->dim[2] = 12;
  output_383->dim[3] = 20;
  output_383->dim_count = 4;
  output_383->qinfo = (struct csinn_quant_info *)(params_base + 2187496);
  output_383->quant_channel = 1;
  struct csinn_diso_params *params_383 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_383->base.name = "multiply_/model.23/m/m.0/cv2/act/Mul_303";
  params_383->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_379, output_382, output_383, params_383);
  struct csinn_tensor *output_385 = csinn_alloc_tensor(sess);
  output_385->name = "output_385";
  output_385->dtype = CSINN_DTYPE_INT8;
  output_385->layout = CSINN_LAYOUT_NCHW;
  output_385->dim[0] = 1;
  output_385->dim[1] = 128;
  output_385->dim[2] = 12;
  output_385->dim[3] = 20;
  output_385->dim_count = 4;
  output_385->qinfo = (struct csinn_quant_info *)(params_base + 2187520);
  output_385->quant_channel = 1;
  struct csinn_tensor *kernel_385 = csinn_alloc_tensor(sess);
  kernel_385->name = "kernel_385";
  kernel_385->data = params_base + 2187568;
  kernel_385->is_const = 1;
  kernel_385->dtype = CSINN_DTYPE_INT8;
  kernel_385->layout = CSINN_LAYOUT_OIHW;
  kernel_385->dim[0] = 128;
  kernel_385->dim[1] = 256;
  kernel_385->dim[2] = 1;
  kernel_385->dim[3] = 1;
  kernel_385->dim_count = 4;
  kernel_385->qinfo = (struct csinn_quant_info *)(params_base + 2187544);
  kernel_385->quant_channel = 1;
  struct csinn_tensor *bias_385 = csinn_alloc_tensor(sess);
  bias_385->name = "bias_385";
  bias_385->data = params_base + 2220360;
  bias_385->is_const = 1;
  bias_385->dtype = CSINN_DTYPE_INT32;
  bias_385->layout = CSINN_LAYOUT_O;
  bias_385->dim[0] = 128;
  bias_385->dim_count = 1;
  bias_385->qinfo = (struct csinn_quant_info *)(params_base + 2220336);
  bias_385->quant_channel = 1;
  struct csinn_conv2d_params *params_385 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_385->group = 1;
  params_385->stride_height = 1;
  params_385->stride_width = 1;
  params_385->dilation_height = 1;
  params_385->dilation_width = 1;
  params_385->conv_extra.kernel_tm = NULL;
  params_385->conv_extra.conv_mode = CSINN_DIRECT;
  params_385->pad_top = 0;
  params_385->pad_left = 0;
  params_385->pad_down = 0;
  params_385->pad_right = 0;
  params_385->base.name = "conv2d_/model.23/cv2/conv/Conv_PART_0_304_fuse_bias_add_/model.23/cv2/conv/Conv_305";
  params_385->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_366, output_385, kernel_385, bias_385, params_385);
  struct csinn_tensor *output_387 = csinn_alloc_tensor(sess);
  output_387->name = "output_387";
  output_387->dtype = CSINN_DTYPE_INT8;
  output_387->layout = CSINN_LAYOUT_NCHW;
  output_387->dim[0] = 1;
  output_387->dim[1] = 128;
  output_387->dim[2] = 12;
  output_387->dim[3] = 20;
  output_387->dim_count = 4;
  output_387->qinfo = (struct csinn_quant_info *)(params_base + 2220872);
  output_387->quant_channel = 1;
  struct csinn_sigmoid_params *params_387 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_387->base.name = "sigmoid_/model.23/cv2/act/Sigmoid_306";
  params_387->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_385, output_387, params_387);
  struct csinn_tensor *output_388 = csinn_alloc_tensor(sess);
  output_388->name = "output_388";
  output_388->dtype = CSINN_DTYPE_INT8;
  output_388->layout = CSINN_LAYOUT_NCHW;
  output_388->dim[0] = 1;
  output_388->dim[1] = 128;
  output_388->dim[2] = 12;
  output_388->dim[3] = 20;
  output_388->dim_count = 4;
  output_388->qinfo = (struct csinn_quant_info *)(params_base + 2220896);
  output_388->quant_channel = 1;
  struct csinn_relu_params *params_388 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_388->base.name = "relu_307";
  params_388->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_387, output_388, params_388);
  struct csinn_tensor *output_389 = csinn_alloc_tensor(sess);
  output_389->name = "output_389";
  output_389->dtype = CSINN_DTYPE_INT8;
  output_389->layout = CSINN_LAYOUT_NCHW;
  output_389->dim[0] = 1;
  output_389->dim[1] = 128;
  output_389->dim[2] = 12;
  output_389->dim[3] = 20;
  output_389->dim_count = 4;
  output_389->qinfo = (struct csinn_quant_info *)(params_base + 2220920);
  output_389->quant_channel = 1;
  struct csinn_diso_params *params_389 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_389->base.name = "multiply_/model.23/cv2/act/Mul_308";
  params_389->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_385, output_388, output_389, params_389);
  struct csinn_tensor *input_391_concat[2];
  struct csinn_tensor *output_391 = csinn_alloc_tensor(sess);
  output_391->name = "output_391";
  output_391->dtype = CSINN_DTYPE_INT8;
  output_391->layout = CSINN_LAYOUT_NCHW;
  output_391->dim[0] = 1;
  output_391->dim[1] = 256;
  output_391->dim[2] = 12;
  output_391->dim[3] = 20;
  output_391->dim_count = 4;
  output_391->qinfo = (struct csinn_quant_info *)(params_base + 2220944);
  output_391->quant_channel = 1;
  struct csinn_concat_params *params_391 = csinn_alloc_params(sizeof(struct csinn_concat_params), sess);
  params_391->inputs_count = 2;
  params_391->axis = 1;
  params_391->base.name = "concatenate_/model.23/Concat_309";
  params_391->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_concat_init(input_391_concat, output_391, params_391);
  struct csinn_tensor *output_392 = csinn_alloc_tensor(sess);
  output_392->name = "output_392";
  output_392->dtype = CSINN_DTYPE_INT8;
  output_392->layout = CSINN_LAYOUT_NCHW;
  output_392->dim[0] = 1;
  output_392->dim[1] = 256;
  output_392->dim[2] = 12;
  output_392->dim[3] = 20;
  output_392->dim_count = 4;
  output_392->qinfo = (struct csinn_quant_info *)(params_base + 2220968);
  output_392->quant_channel = 1;
  struct csinn_tensor *kernel_392 = csinn_alloc_tensor(sess);
  kernel_392->name = "kernel_392";
  kernel_392->data = params_base + 2221016;
  kernel_392->is_const = 1;
  kernel_392->dtype = CSINN_DTYPE_INT8;
  kernel_392->layout = CSINN_LAYOUT_OIHW;
  kernel_392->dim[0] = 256;
  kernel_392->dim[1] = 256;
  kernel_392->dim[2] = 1;
  kernel_392->dim[3] = 1;
  kernel_392->dim_count = 4;
  kernel_392->qinfo = (struct csinn_quant_info *)(params_base + 2220992);
  kernel_392->quant_channel = 1;
  struct csinn_tensor *bias_392 = csinn_alloc_tensor(sess);
  bias_392->name = "bias_392";
  bias_392->data = params_base + 2286576;
  bias_392->is_const = 1;
  bias_392->dtype = CSINN_DTYPE_INT32;
  bias_392->layout = CSINN_LAYOUT_O;
  bias_392->dim[0] = 256;
  bias_392->dim_count = 1;
  bias_392->qinfo = (struct csinn_quant_info *)(params_base + 2286552);
  bias_392->quant_channel = 1;
  struct csinn_conv2d_params *params_392 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_392->group = 1;
  params_392->stride_height = 1;
  params_392->stride_width = 1;
  params_392->dilation_height = 1;
  params_392->dilation_width = 1;
  params_392->conv_extra.kernel_tm = NULL;
  params_392->conv_extra.conv_mode = CSINN_DIRECT;
  params_392->pad_top = 0;
  params_392->pad_left = 0;
  params_392->pad_down = 0;
  params_392->pad_right = 0;
  params_392->base.name = "conv2d_/model.23/cv3/conv/Conv_PART_0_310_fuse_bias_add_/model.23/cv3/conv/Conv_311";
  params_392->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_391, output_392, kernel_392, bias_392, params_392);
  struct csinn_tensor *output_394 = csinn_alloc_tensor(sess);
  output_394->name = "output_394";
  output_394->dtype = CSINN_DTYPE_INT8;
  output_394->layout = CSINN_LAYOUT_NCHW;
  output_394->dim[0] = 1;
  output_394->dim[1] = 256;
  output_394->dim[2] = 12;
  output_394->dim[3] = 20;
  output_394->dim_count = 4;
  output_394->qinfo = (struct csinn_quant_info *)(params_base + 2287600);
  output_394->quant_channel = 1;
  struct csinn_sigmoid_params *params_394 = csinn_alloc_params(sizeof(struct csinn_sigmoid_params), sess);
  params_394->base.name = "sigmoid_/model.23/cv3/act/Sigmoid_312";
  params_394->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_sigmoid_init(output_392, output_394, params_394);
  struct csinn_tensor *output_395 = csinn_alloc_tensor(sess);
  output_395->name = "output_395";
  output_395->dtype = CSINN_DTYPE_INT8;
  output_395->layout = CSINN_LAYOUT_NCHW;
  output_395->dim[0] = 1;
  output_395->dim[1] = 256;
  output_395->dim[2] = 12;
  output_395->dim[3] = 20;
  output_395->dim_count = 4;
  output_395->qinfo = (struct csinn_quant_info *)(params_base + 2287624);
  output_395->quant_channel = 1;
  struct csinn_relu_params *params_395 = csinn_alloc_params(sizeof(struct csinn_relu_params), sess);
  params_395->base.name = "relu_313";
  params_395->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_relu_init(output_394, output_395, params_395);
  struct csinn_tensor *output_396 = csinn_alloc_tensor(sess);
  output_396->name = "output_396";
  output_396->dtype = CSINN_DTYPE_INT8;
  output_396->layout = CSINN_LAYOUT_NCHW;
  output_396->dim[0] = 1;
  output_396->dim[1] = 256;
  output_396->dim[2] = 12;
  output_396->dim[3] = 20;
  output_396->dim_count = 4;
  output_396->qinfo = (struct csinn_quant_info *)(params_base + 2287648);
  output_396->quant_channel = 1;
  struct csinn_diso_params *params_396 = csinn_alloc_params(sizeof(struct csinn_diso_params), sess);
  params_396->base.name = "multiply_/model.23/cv3/act/Mul_314";
  params_396->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_mul_init(output_392, output_395, output_396, params_396);
  struct csinn_tensor *output_398 = csinn_alloc_tensor(sess);
  output_398->name = "conv2d_/model.24/m.2/Conv_PART_0_315_fuse_bias_add_/model.24/m.2/Conv_output_0@@/model.24/m.2/Conv_316_398";
  output_398->dtype = CSINN_DTYPE_INT8;
  output_398->layout = CSINN_LAYOUT_NCHW;
  output_398->dim[0] = 1;
  output_398->dim[1] = 255;
  output_398->dim[2] = 12;
  output_398->dim[3] = 20;
  output_398->dim_count = 4;
  output_398->qinfo = (struct csinn_quant_info *)(params_base + 2287672);
  output_398->quant_channel = 1;
  struct csinn_tensor *kernel_398 = csinn_alloc_tensor(sess);
  kernel_398->name = "kernel_398";
  kernel_398->data = params_base + 2287720;
  kernel_398->is_const = 1;
  kernel_398->dtype = CSINN_DTYPE_INT8;
  kernel_398->layout = CSINN_LAYOUT_OIHW;
  kernel_398->dim[0] = 255;
  kernel_398->dim[1] = 256;
  kernel_398->dim[2] = 1;
  kernel_398->dim[3] = 1;
  kernel_398->dim_count = 4;
  kernel_398->qinfo = (struct csinn_quant_info *)(params_base + 2287696);
  kernel_398->quant_channel = 1;
  struct csinn_tensor *bias_398 = csinn_alloc_tensor(sess);
  bias_398->name = "bias_398";
  bias_398->data = params_base + 2353024;
  bias_398->is_const = 1;
  bias_398->dtype = CSINN_DTYPE_INT32;
  bias_398->layout = CSINN_LAYOUT_O;
  bias_398->dim[0] = 255;
  bias_398->dim_count = 1;
  bias_398->qinfo = (struct csinn_quant_info *)(params_base + 2353000);
  bias_398->quant_channel = 1;
  struct csinn_conv2d_params *params_398 = csinn_alloc_params(sizeof(struct csinn_conv2d_params), sess);
  params_398->group = 1;
  params_398->stride_height = 1;
  params_398->stride_width = 1;
  params_398->dilation_height = 1;
  params_398->dilation_width = 1;
  params_398->conv_extra.kernel_tm = NULL;
  params_398->conv_extra.conv_mode = CSINN_DIRECT;
  params_398->pad_top = 0;
  params_398->pad_left = 0;
  params_398->pad_down = 0;
  params_398->pad_right = 0;
  params_398->base.name = "conv2d_/model.24/m.2/Conv_PART_0_315_fuse_bias_add_/model.24/m.2/Conv_output_0@@/model.24/m.2/Conv_316";
  params_398->base.quant_type = CSINN_QUANT_INT8_ASYM;
  csinn_conv2d_init(output_396, output_398, kernel_398, bias_398, params_398);
  images->mtype = CSINN_MEM_TYPE_CPU_NOT_ALIGNED;
  csinn_set_tensor_entry(images, sess);
  csinn_set_input(0, images, sess);

  csinn_conv2d(images, output_0, kernel_0, bias_0, params_0);
  csinn_sigmoid(output_0, output_2, params_2);
  csinn_relu(output_2, output_3, params_3);
  csinn_mul(output_0, output_3, output_4, params_4);
  csinn_conv2d(output_4, output_6, kernel_6, bias_6, params_6);
  csinn_sigmoid(output_6, output_8, params_8);
  csinn_relu(output_8, output_9, params_9);
  csinn_mul(output_6, output_9, output_10, params_10);
  csinn_conv2d(output_10, output_12, kernel_12, bias_12, params_12);
  csinn_sigmoid(output_12, output_14, params_14);
  csinn_relu(output_14, output_15, params_15);
  csinn_mul(output_12, output_15, output_16, params_16);
  csinn_conv2d(output_16, output_19, kernel_19, bias_19, params_19);
  csinn_sigmoid(output_19, output_21, params_21);
  csinn_relu(output_21, output_22, params_22);
  csinn_mul(output_19, output_22, output_23, params_23);
  csinn_conv2d(output_23, output_25, kernel_25, bias_25, params_25);
  csinn_sigmoid(output_25, output_27, params_27);
  csinn_relu(output_27, output_28, params_28);
  csinn_mul(output_25, output_28, output_29, params_29);
  csinn_add(output_16, output_29, output_31, params_31);
  csinn_conv2d(output_10, output_33, kernel_33, bias_33, params_33);
  csinn_sigmoid(output_33, output_35, params_35);
  csinn_relu(output_35, output_36, params_36);
  csinn_mul(output_33, output_36, output_37, params_37);
  input_39_concat[0] = output_31;
  input_39_concat[1] = output_37;
  csinn_concat(input_39_concat, output_39, params_39);
  csinn_conv2d(output_39, output_40, kernel_40, bias_40, params_40);
  csinn_sigmoid(output_40, output_42, params_42);
  csinn_relu(output_42, output_43, params_43);
  csinn_mul(output_40, output_43, output_44, params_44);
  csinn_conv2d(output_44, output_46, kernel_46, bias_46, params_46);
  csinn_sigmoid(output_46, output_48, params_48);
  csinn_relu(output_48, output_49, params_49);
  csinn_mul(output_46, output_49, output_50, params_50);
  csinn_conv2d(output_50, output_52, kernel_52, bias_52, params_52);
  csinn_sigmoid(output_52, output_54, params_54);
  csinn_relu(output_54, output_55, params_55);
  csinn_mul(output_52, output_55, output_56, params_56);
  csinn_conv2d(output_56, output_59, kernel_59, bias_59, params_59);
  csinn_sigmoid(output_59, output_61, params_61);
  csinn_relu(output_61, output_62, params_62);
  csinn_mul(output_59, output_62, output_63, params_63);
  csinn_conv2d(output_63, output_65, kernel_65, bias_65, params_65);
  csinn_sigmoid(output_65, output_67, params_67);
  csinn_relu(output_67, output_68, params_68);
  csinn_mul(output_65, output_68, output_69, params_69);
  csinn_add(output_56, output_69, output_71, params_71);
  csinn_conv2d(output_71, output_74, kernel_74, bias_74, params_74);
  csinn_sigmoid(output_74, output_76, params_76);
  csinn_relu(output_76, output_77, params_77);
  csinn_mul(output_74, output_77, output_78, params_78);
  csinn_conv2d(output_78, output_80, kernel_80, bias_80, params_80);
  csinn_sigmoid(output_80, output_82, params_82);
  csinn_relu(output_82, output_83, params_83);
  csinn_mul(output_80, output_83, output_84, params_84);
  csinn_add(output_71, output_84, output_86, params_86);
  csinn_conv2d(output_50, output_88, kernel_88, bias_88, params_88);
  csinn_sigmoid(output_88, output_90, params_90);
  csinn_relu(output_90, output_91, params_91);
  csinn_mul(output_88, output_91, output_92, params_92);
  input_94_concat[0] = output_86;
  input_94_concat[1] = output_92;
  csinn_concat(input_94_concat, output_94, params_94);
  csinn_conv2d(output_94, output_95, kernel_95, bias_95, params_95);
  csinn_sigmoid(output_95, output_97, params_97);
  csinn_relu(output_97, output_98, params_98);
  csinn_mul(output_95, output_98, output_99, params_99);
  csinn_conv2d(output_99, output_101, kernel_101, bias_101, params_101);
  csinn_sigmoid(output_101, output_103, params_103);
  csinn_relu(output_103, output_104, params_104);
  csinn_mul(output_101, output_104, output_105, params_105);
  csinn_conv2d(output_105, output_107, kernel_107, bias_107, params_107);
  csinn_sigmoid(output_107, output_109, params_109);
  csinn_relu(output_109, output_110, params_110);
  csinn_mul(output_107, output_110, output_111, params_111);
  csinn_conv2d(output_111, output_114, kernel_114, bias_114, params_114);
  csinn_sigmoid(output_114, output_116, params_116);
  csinn_relu(output_116, output_117, params_117);
  csinn_mul(output_114, output_117, output_118, params_118);
  csinn_conv2d(output_118, output_120, kernel_120, bias_120, params_120);
  csinn_sigmoid(output_120, output_122, params_122);
  csinn_relu(output_122, output_123, params_123);
  csinn_mul(output_120, output_123, output_124, params_124);
  csinn_add(output_111, output_124, output_126, params_126);
  csinn_conv2d(output_126, output_129, kernel_129, bias_129, params_129);
  csinn_sigmoid(output_129, output_131, params_131);
  csinn_relu(output_131, output_132, params_132);
  csinn_mul(output_129, output_132, output_133, params_133);
  csinn_conv2d(output_133, output_135, kernel_135, bias_135, params_135);
  csinn_sigmoid(output_135, output_137, params_137);
  csinn_relu(output_137, output_138, params_138);
  csinn_mul(output_135, output_138, output_139, params_139);
  csinn_add(output_126, output_139, output_141, params_141);
  csinn_conv2d(output_141, output_144, kernel_144, bias_144, params_144);
  csinn_sigmoid(output_144, output_146, params_146);
  csinn_relu(output_146, output_147, params_147);
  csinn_mul(output_144, output_147, output_148, params_148);
  csinn_conv2d(output_148, output_150, kernel_150, bias_150, params_150);
  csinn_sigmoid(output_150, output_152, params_152);
  csinn_relu(output_152, output_153, params_153);
  csinn_mul(output_150, output_153, output_154, params_154);
  csinn_add(output_141, output_154, output_156, params_156);
  csinn_conv2d(output_105, output_158, kernel_158, bias_158, params_158);
  csinn_sigmoid(output_158, output_160, params_160);
  csinn_relu(output_160, output_161, params_161);
  csinn_mul(output_158, output_161, output_162, params_162);
  input_164_concat[0] = output_156;
  input_164_concat[1] = output_162;
  csinn_concat(input_164_concat, output_164, params_164);
  csinn_conv2d(output_164, output_165, kernel_165, bias_165, params_165);
  csinn_sigmoid(output_165, output_167, params_167);
  csinn_relu(output_167, output_168, params_168);
  csinn_mul(output_165, output_168, output_169, params_169);
  csinn_conv2d(output_169, output_171, kernel_171, bias_171, params_171);
  csinn_sigmoid(output_171, output_173, params_173);
  csinn_relu(output_173, output_174, params_174);
  csinn_mul(output_171, output_174, output_175, params_175);
  csinn_conv2d(output_175, output_177, kernel_177, bias_177, params_177);
  csinn_sigmoid(output_177, output_179, params_179);
  csinn_relu(output_179, output_180, params_180);
  csinn_mul(output_177, output_180, output_181, params_181);
  csinn_conv2d(output_181, output_184, kernel_184, bias_184, params_184);
  csinn_sigmoid(output_184, output_186, params_186);
  csinn_relu(output_186, output_187, params_187);
  csinn_mul(output_184, output_187, output_188, params_188);
  csinn_conv2d(output_188, output_190, kernel_190, bias_190, params_190);
  csinn_sigmoid(output_190, output_192, params_192);
  csinn_relu(output_192, output_193, params_193);
  csinn_mul(output_190, output_193, output_194, params_194);
  csinn_add(output_181, output_194, output_196, params_196);
  csinn_conv2d(output_175, output_198, kernel_198, bias_198, params_198);
  csinn_sigmoid(output_198, output_200, params_200);
  csinn_relu(output_200, output_201, params_201);
  csinn_mul(output_198, output_201, output_202, params_202);
  input_204_concat[0] = output_196;
  input_204_concat[1] = output_202;
  csinn_concat(input_204_concat, output_204, params_204);
  csinn_conv2d(output_204, output_205, kernel_205, bias_205, params_205);
  csinn_sigmoid(output_205, output_207, params_207);
  csinn_relu(output_207, output_208, params_208);
  csinn_mul(output_205, output_208, output_209, params_209);
  csinn_conv2d(output_209, output_211, kernel_211, bias_211, params_211);
  csinn_sigmoid(output_211, output_213, params_213);
  csinn_relu(output_213, output_214, params_214);
  csinn_mul(output_211, output_214, output_215, params_215);
  csinn_maxpool2d(output_215, output_217, params_217);
  csinn_mul(output_217, rhs_219, output_219, params_219);
  csinn_maxpool2d(output_217, output_221, params_221);
  csinn_mul(output_221, rhs_223, output_223, params_223);
  csinn_maxpool2d(output_221, output_225, params_225);
  csinn_mul(output_225, rhs_227, output_227, params_227);
  input_229_concat[0] = output_215;
  input_229_concat[1] = output_219;
  input_229_concat[2] = output_223;
  input_229_concat[3] = output_227;
  csinn_concat(input_229_concat, output_229, params_229);
  csinn_conv2d(output_229, output_230, kernel_230, bias_230, params_230);
  csinn_sigmoid(output_230, output_232, params_232);
  csinn_relu(output_232, output_233, params_233);
  csinn_mul(output_230, output_233, output_234, params_234);
  csinn_conv2d(output_234, output_236, kernel_236, bias_236, params_236);
  csinn_sigmoid(output_236, output_238, params_238);
  csinn_relu(output_238, output_239, params_239);
  csinn_mul(output_236, output_239, output_240, params_240);
  csinn_resize(output_240, output_242, params_242);
  csinn_mul(output_242, rhs_244, output_244, params_244);
  input_246_concat[0] = output_244;
  input_246_concat[1] = output_169;
  csinn_concat(input_246_concat, output_246, params_246);
  csinn_conv2d(output_246, output_247, kernel_247, bias_247, params_247);
  csinn_sigmoid(output_247, output_249, params_249);
  csinn_relu(output_249, output_250, params_250);
  csinn_mul(output_247, output_250, output_251, params_251);
  csinn_conv2d(output_251, output_253, kernel_253, bias_253, params_253);
  csinn_sigmoid(output_253, output_255, params_255);
  csinn_relu(output_255, output_256, params_256);
  csinn_mul(output_253, output_256, output_257, params_257);
  csinn_conv2d(output_257, output_259, kernel_259, bias_259, params_259);
  csinn_sigmoid(output_259, output_261, params_261);
  csinn_relu(output_261, output_262, params_262);
  csinn_mul(output_259, output_262, output_263, params_263);
  csinn_conv2d(output_246, output_265, kernel_265, bias_265, params_265);
  csinn_sigmoid(output_265, output_267, params_267);
  csinn_relu(output_267, output_268, params_268);
  csinn_mul(output_265, output_268, output_269, params_269);
  input_271_concat[0] = output_263;
  input_271_concat[1] = output_269;
  csinn_concat(input_271_concat, output_271, params_271);
  csinn_conv2d(output_271, output_272, kernel_272, bias_272, params_272);
  csinn_sigmoid(output_272, output_274, params_274);
  csinn_relu(output_274, output_275, params_275);
  csinn_mul(output_272, output_275, output_276, params_276);
  csinn_conv2d(output_276, output_278, kernel_278, bias_278, params_278);
  csinn_sigmoid(output_278, output_280, params_280);
  csinn_relu(output_280, output_281, params_281);
  csinn_mul(output_278, output_281, output_282, params_282);
  csinn_resize(output_282, output_284, params_284);
  csinn_mul(output_284, rhs_286, output_286, params_286);
  input_288_concat[0] = output_286;
  input_288_concat[1] = output_99;
  csinn_concat(input_288_concat, output_288, params_288);
  csinn_conv2d(output_288, output_289, kernel_289, bias_289, params_289);
  csinn_sigmoid(output_289, output_291, params_291);
  csinn_relu(output_291, output_292, params_292);
  csinn_mul(output_289, output_292, output_293, params_293);
  csinn_conv2d(output_293, output_295, kernel_295, bias_295, params_295);
  csinn_sigmoid(output_295, output_297, params_297);
  csinn_relu(output_297, output_298, params_298);
  csinn_mul(output_295, output_298, output_299, params_299);
  csinn_conv2d(output_299, output_301, kernel_301, bias_301, params_301);
  csinn_sigmoid(output_301, output_303, params_303);
  csinn_relu(output_303, output_304, params_304);
  csinn_mul(output_301, output_304, output_305, params_305);
  csinn_conv2d(output_288, output_307, kernel_307, bias_307, params_307);
  csinn_sigmoid(output_307, output_309, params_309);
  csinn_relu(output_309, output_310, params_310);
  csinn_mul(output_307, output_310, output_311, params_311);
  input_313_concat[0] = output_305;
  input_313_concat[1] = output_311;
  csinn_concat(input_313_concat, output_313, params_313);
  csinn_conv2d(output_313, output_314, kernel_314, bias_314, params_314);
  csinn_sigmoid(output_314, output_316, params_316);
  csinn_relu(output_316, output_317, params_317);
  csinn_mul(output_314, output_317, output_318, params_318);
  csinn_conv2d(output_318, output_320, kernel_320, bias_320, params_320);
  csinn_conv2d(output_318, output_321, kernel_321, bias_321, params_321);
  csinn_sigmoid(output_321, output_323, params_323);
  csinn_relu(output_323, output_324, params_324);
  csinn_mul(output_321, output_324, output_325, params_325);
  input_327_concat[0] = output_325;
  input_327_concat[1] = output_282;
  csinn_concat(input_327_concat, output_327, params_327);
  csinn_conv2d(output_327, output_328, kernel_328, bias_328, params_328);
  csinn_sigmoid(output_328, output_330, params_330);
  csinn_relu(output_330, output_331, params_331);
  csinn_mul(output_328, output_331, output_332, params_332);
  csinn_conv2d(output_332, output_334, kernel_334, bias_334, params_334);
  csinn_sigmoid(output_334, output_336, params_336);
  csinn_relu(output_336, output_337, params_337);
  csinn_mul(output_334, output_337, output_338, params_338);
  csinn_conv2d(output_338, output_340, kernel_340, bias_340, params_340);
  csinn_sigmoid(output_340, output_342, params_342);
  csinn_relu(output_342, output_343, params_343);
  csinn_mul(output_340, output_343, output_344, params_344);
  csinn_conv2d(output_327, output_346, kernel_346, bias_346, params_346);
  csinn_sigmoid(output_346, output_348, params_348);
  csinn_relu(output_348, output_349, params_349);
  csinn_mul(output_346, output_349, output_350, params_350);
  input_352_concat[0] = output_344;
  input_352_concat[1] = output_350;
  csinn_concat(input_352_concat, output_352, params_352);
  csinn_conv2d(output_352, output_353, kernel_353, bias_353, params_353);
  csinn_sigmoid(output_353, output_355, params_355);
  csinn_relu(output_355, output_356, params_356);
  csinn_mul(output_353, output_356, output_357, params_357);
  csinn_conv2d(output_357, output_359, kernel_359, bias_359, params_359);
  csinn_conv2d(output_357, output_360, kernel_360, bias_360, params_360);
  csinn_sigmoid(output_360, output_362, params_362);
  csinn_relu(output_362, output_363, params_363);
  csinn_mul(output_360, output_363, output_364, params_364);
  input_366_concat[0] = output_364;
  input_366_concat[1] = output_240;
  csinn_concat(input_366_concat, output_366, params_366);
  csinn_conv2d(output_366, output_367, kernel_367, bias_367, params_367);
  csinn_sigmoid(output_367, output_369, params_369);
  csinn_relu(output_369, output_370, params_370);
  csinn_mul(output_367, output_370, output_371, params_371);
  csinn_conv2d(output_371, output_373, kernel_373, bias_373, params_373);
  csinn_sigmoid(output_373, output_375, params_375);
  csinn_relu(output_375, output_376, params_376);
  csinn_mul(output_373, output_376, output_377, params_377);
  csinn_conv2d(output_377, output_379, kernel_379, bias_379, params_379);
  csinn_sigmoid(output_379, output_381, params_381);
  csinn_relu(output_381, output_382, params_382);
  csinn_mul(output_379, output_382, output_383, params_383);
  csinn_conv2d(output_366, output_385, kernel_385, bias_385, params_385);
  csinn_sigmoid(output_385, output_387, params_387);
  csinn_relu(output_387, output_388, params_388);
  csinn_mul(output_385, output_388, output_389, params_389);
  input_391_concat[0] = output_383;
  input_391_concat[1] = output_389;
  csinn_concat(input_391_concat, output_391, params_391);
  csinn_conv2d(output_391, output_392, kernel_392, bias_392, params_392);
  csinn_sigmoid(output_392, output_394, params_394);
  csinn_relu(output_394, output_395, params_395);
  csinn_mul(output_392, output_395, output_396, params_396);
  csinn_conv2d(output_396, output_398, kernel_398, bias_398, params_398);
  csinn_set_output(0, output_320, sess);
  csinn_set_output(1, output_359, sess);
  csinn_set_output(2, output_398, sess);

  csinn_session_setup(sess);
  return sess;
}
void csinn_update_input_and_run(struct csinn_tensor **input_tensors , void *sess) {
  csinn_update_input(0, input_tensors[0], sess);
  csinn_session_run(sess);
}
